Partial Least Squares Structural Equation Modeling Research Articles

Religiosity, ethical leadership and local wisdom in moderating the effect of fraud risk management on asset misappropriation: evidence from local government in Indonesia

Purpose This study aims to examine the effects of religiosity, ethical leadership and local wisdom on the relationship between fraud risk management and asset misappropriation in Indonesia. Design/methodology/approach Data were collected using a set of questionnaire surveys administered to the head office, local government internal auditors (inspectorate) and local government employees in Indonesia. Sample selection used purposive techniques and obtained 151 respondents who became research data. The dependent variable was asset misappropriation. The independent variable was fraud risk management. The moderating variables for this study were religiosity, leader ethics and local wisdom. The analysis technique applied the structural equation model-partial least square (SEM-PLS). Findings Fraud risk management has a significant negative effect on asset misappropriation. In addition, this study finds evidence that religiosity, ethical leadership and local wisdom increase fraud risk management against asset misappropriation. Research limitations/implications This study proposes an integrative model that enables local governments to understand fraud risk management. By integrating religiosity, ethical leadership and local wisdom, managers can design strategies to prevent asset misappropriation. Originality/value This research has the advantage of proposing an integrative model for mitigating asset misappropriation. Research on asset misappropriation is limited. Therefore, this study provides insights into fraud risk management, particularly in Indonesia’s local governments. In addition, this study adds ethical aspects such as religiosity, leadership and local wisdom to complement the weaknesses of fraud risk management and reduce the potential for asset misappropriation.

Do artificial intelligence system adoptions foster production management supply chain performance in pharmaceutical manufacturing firms? An empirical exploring study from the MENA region

PurposeThe goal of this study is to better understand the driving force behind the use of artificial intelligence (AI) in pharmaceutical manufacturing firms (PMFs) that are recognized as developing countries in the Middle East and North Africa (MENA) region that are listed by the Chambers of the Industries of Jordan, the Kingdom of Saudi Arabia, Morocco, and Algeria. Furthermore, the effect of adopting and using AI in managing raw materials (RMs), products, parts, and components for PMFs through supply chains (SCs).Design/methodology/approachA self-administrated questionnaire survey was used to gather data from 95 out of 511 participating managers (e.g. manufacturing, supplying, IT, operational, and logistical managers) utilizing a quantitative technique with a random sample size. In fact, 18.8% of the 89 different manufacturing firms (MFs) in the MENA area responded, with five to six managers from each company. The raw data was analyzed using partial least squares structural equation modeling (PLS-SEM).FindingsThe study’s findings show that the readiness to embrace artificial intelligence (AI) in the production management supply chain performance (PMSCP) of pharmaceutical manufacturing firms in the Middle East and North Africa (MENA) is positively and significantly influenced directly and indirectly by sustainable strategic supplier reliability (SSSR), shipping process dependability (SPD), technological factors (TFs), and infrastructure transformational development capability (ITDC).Originality/valueAs the studied countries are growing economies, such study findings might offer insightful consequences for stakeholders and policymakers regarding the significance of using artificial intelligence system adoptions in pharmaceutical manufacturing enterprises in the MENA region. The managers may also concentrate on the strong positive direct and indirect links between SSSR, SPD, TFs, and ITDC preparedness to accept AI adoption and its applications and systems in supply chain and production management departments and the consequences of informational and product delivery.

Dampak Diversity Management pada Employees Engagement: Peran Organizational Trust dan Job Insecurity

Workforce diversity such as differences in ethnicity, gender, education, language and so on in an organization needs to be managed properly in order to be able to achieve the vision, mission and goals of the organization. Due to good Diversity Management, Organizational Trust will emerge thereby creating Employees Engagement, which can prevent Job Insecurity from occurring. The purpose of this study is to explore Diversity Management and Organizational Trust to achieve Employees Engagement in service companies in Jakarta that specialize in the banking, telecommunications, and building construction sectors. This research was conducted on 125 respondents and was obtained through a questionnaire distributed online in July 2023. In this quantitative study, researchers used primary data and the Partial Least Square-Structural Equation Modeling (PLS-SEM) research method with data processing and analysis using SmartPLS. The results of this study confirm that Diversity Management has no effect on Employees Engagement, Organizational Trust has a positive effect on Employees Engagement, Diversity Management has a negative effect on Job Insecurity, while the moderating effect of Leadership Style has no significant effect on Employees Engagement. This research is limited to service companies in Jakarta, further researchers can explore manufacturing or trading companies. Suggestions that can be submitted for future researchers are to be able to replace the Leadership Style variable with transactional and transformational Leadership Styles.

Analysis of the acceptance of E-learning platform (SIDEK-Edu) among high school students with UTAUT2-TOE approach: implications for digital learning

PurposeThe purpose of this study is to examine the acceptance factors of e-learning among students in high schools. In this study, researchers used a combination of system acceptance models, namely UTAUT2 and TOE. The UTAUT2 framework is used to explore technology acceptance from the context of individual behavior, while TOE is used to understand technology acceptance from the organizational context based on the perspective of students, as it results in a better choice to anticipate the relationship between the acceptance of technological innovation in high schools.Design/methodology/approachThis study used quantitative methods. The sample in this study amounted to 212 people who were high school students who had just tried using SIDEK-Edu. This study uses Partial Least Square-Structural Equation Modeling (PLS-SEM) to analyze the measurement model and structural model with WarpPLS version 6 software.FindingsBased on the results of the tests carried out, out of a total of 16 hypotheses, 6 hypotheses were accepted and 10 hypotheses were rejected. Research findings from the individual context show that performance expectancy, social influence, and learning value have a positive and significant effect on behavioral intention to use SIDEK-Edu innovation technology. Furthermore, judging from students' perceptions in the organizational context, only relative advantage has a positive and significant effect on behavioral intention, while compatibility, ICT resources, and competitive pressure do not.Research limitations/implicationsThe limitations of this research are that this research uses a homogeneous sample of high school students, this research only focuses on the high school level, this research is limited to the dominant variables in measuring the acceptance of SIDEK-Edu innovation technology.Practical implicationsInput to the high school, both the organization, teachers, and also decision makers in the organization. This makes it easier for all parties to design and implement the system they have so that it is as expected, In addition, the existence of SIDEK-Edu also provides a new learning method experience in learning accounting which is very beneficial for high school students, especially vocational high school.Originality/valueSIDEK-Edu is a new innovative technology to research and is an LMS that focuses on accounting learning (theory room and practice room in one learning media). In addition, the model used in the study is a combination of models (UTAUT2-TOE) to indentify e-learning acceptance.

Omnichannel word-of-mouth genesis: the confluence of online-offline experiences, social influence and skepticism

PurposeThis research aims to examine the integral elements of omnichannel retailing, an evolving approach that blends online and offline shopping experiences. It focuses on how various factors – merchandise variety, monetary saving, personal interaction, complaint handling, social influence, perceived crowd and skepticism – affect relative advantage, consumer satisfaction and word-of-mouth (WOM) advocacy in an omnichannel context.Design/methodology/approachA comprehensive survey was conducted with 258 participants, and the data were analyzed using partial least squares structural equation modeling (PLS-SEM). This methodology provided insights into the complex relationships between different omnichannel retailing factors and their impact on customer satisfaction and WOM.FindingsThe study found that monetary saving influences both relative advantage and satisfaction. Personal interaction was observed to affect complaint handling and relative advantage. Importantly, relative advantage was found to impact both satisfaction and WOM. Additionally, the study highlighted the roles of social influence and satisfaction in enhancing WOM.Originality/valueThis research adds to the existing literature by providing a nuanced understanding of the dynamics of consumer engagement in omnichannel retailing. It bridges a gap in existing research by concurrently examining the impact of online and offline retail factors on consumer satisfaction and WOM in an omnichannel setting.

Mitigating work alienation in public sector service-delivery projects caused by perceived overqualification: the roles of empowering leadership and the psychological contracts

PurposeThe study investigates the nature of an understudied yet salient relationship between perceived overqualification (POQ) and work alienation in project management. It employs relative deprivation theory to propose two dimensions of the psychological contract, i.e. relational and transactional, as underlying mediating mechanisms and how empowering leadership mitigates the adverse effects of POQ.Design/methodology/approachTo this end, in two waves, we surveyed 232 project members of three public-sector information and communication technologies (ICT) projects in Punjab, Pakistan. The data was analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM).FindingsThe key findings are: (1) POQ leads to work alienation, (2) relational and transactional contracts mediate this relationship, and (3) empowering leadership can mitigate the adverse effects of POQ in project management settings.Originality/valueThis research adds valuable insights to the scant POQ literature in public-sector project management settings. It also contributes by identifying the mediating role of relational and transactional psychological contracts and the moderating role of empowering leadership to mitigate the adverse effects of POQ in these settings.

The Influence of Growth Mindset, Product Innovation, and Social Media Utilization on Business Development with Social Support as a Mediating Variable in MSMEs in Lalabata Village, Soppeng Regency

This study examines the impact of growth mindset, product innovation, and social media utilization on business development and the role of social support as a mediating variable in MSMEs in Lalabata District, Soppeng Regency. This study used a quantitative approach with purposive sampling technique and involved 100 respondents. The data analysis technique applied was Partial Least-Square Structural Equation Modeling (PLS-SEM). The results showed that growth mindset, product innovation, and social media utilization all have a positive influence on business development. Social support also has a positive impact on business development. In addition, social support mediates the relationship between growth mindset, product innovation, and social media utilization with business development in MSMEs in Lalabata District, Soppeng Regency

Sustainable entrepreneurship through customer satisfaction and reuse intention of online food delivery applications: insights from China

Advancements in the online food delivery market in China have resulted from the rapid development and popularity of mobile communications and smartphones, which are currently applied by mobile and online application developers to restaurants and food delivery services for high sales revenue and fulfilment of Chinese consumers at home. The current work aims to thoroughly examine the four information quality dimensions (i.e. intrinsic quality, contextual quality, representational quality and accessibility quality), perceived ease of use, perceived usefulness, and perceived convenience and their subsequent implications on user satisfaction and reuse intention of online food delivery applications. By analysing the roles of these factors, we underscore how innovative technology and entrepreneurial strategies can drive customer engagement and satisfaction in the rapidly evolving online food delivery market. The theoretical model proposed in this study was tested through partial least square structural equation modelling (PLS-SEM). Resultantly, intrinsic quality, contextual quality, representational quality, accessibility quality, perceived usefulness, and perceived ease of use showed a positive and statistically significant effect on user satisfaction, whereas contextual, representational, and accessibility quality, perceived usefulness, perceived convenience, and customer satisfaction positively and significantly affected users’ intention to reuse the online food delivery applications. The key determinant of reuse intention was customers’ personal satisfaction. In order to improve the continuous usage intention of online food delivery applications, application developers and the food industry should therefore focus on providing accurate and up-to-date information, which is expected to boost user satisfaction and reuse intentions.

Effect of Financial Literacy on Impulsive Buying Behavior Towards Online Food Delivery of Generation Z and Millennials in Indonesia with Media as A Moderating Variable

The rapid growth of online food delivery applications (OFDA), coupled with the increasing digital media exposure of younger generations, has raised concerns about impulsive buying behavior and its financial implications. This study investigates the effect of financial literacy on impulsive buying behavior towards OFDA among Generation Z and Millennials in Indonesia, with media as a moderating variable. This study employed a quantitative approach. The object of this study is Generation Z, aged 17-27 years old, and Millennials, aged 28-43 years old, living in Indonesia. The number of participants includes 434 for Generation Z and 407 for Millennials. The research uses Partial Least Squares Structural Equation Modeling (PLS-SEM) and Multi-Group Analysis (MGA) to examine the relationships between variables and compare effects across generational groups. The findings reveal that financial literacy positively and significantly affects impulsive buying behavior towards OFDA in the entire group, Generation Z and Millennials. The effect is stronger in Generation Z than in the complete and Millennial groups. The study also found a significant moderating effect of media usage, highlighting the importance of considering digital influences in financial behavior research. Based on these findings, the study recommends further research to explore the underlying factors causing this positive relationship. For practical applications for individuals, the study suggests that Generation Z and Millennials should implement their financial knowledge more effectively to manage their finances and distinguish between essential and non-essential spending. The study suggests incorporating financial literacy into curricula through courses and practical programs for educational institutions. The study suggests leveraging digital platforms for government bodies to provide interactive financial literacy content. This research significantly advances the understanding of financial literacy's impact on consumer behavior in the digital age, particularly in the context of OFDA among younger generations in Indonesia; by including media usage as a moderating variable, the research explores how digital media exposure influences the relationship between financial literacy and impulsive buying behavior. This aspect of the study underscores the media's significant role in shaping financial behaviors in the digital age.

How Does the Religiosity and Halal Certification Influence Consumer Purchase Decision on Halal Food in Java, Indonesia

Rapid economic growth in several Muslim-majority countries that uphold Islamic values can encourage the growth of Islamic businesses and lifestyles, including Indonesia, which has the largest Muslim population in the world. Rapid economic growth spread to the non-Muslim consumer segment. Java Island is one of the islands in Indonesia with the largest adherents of Islam. This research aims to find out how religiosity and halal certification can influence halal awareness and purchase intention which can increase consumer purchase decision for halal food products. It's using 100 respondents spread across Java Island. The analytical method used is Partial Least Squares – Structural Equation Modeling (PLS-SEM). The research results show that religiosity and halal certification have a positive and significant effect on halal awareness and purchase intention. Then halal awareness and consumer purchasing intentions have a positive and significant influence on halal food purchasing decisions on the island of Java, Indonesia.

Unlocking the potential of digital technologies for sustainable supply chain management strategies

ABSTRACT The advent of digital technologies (DTs) has transformed traditional supply chains into agile, efficient, and sustainable networks, known as Supply Chain 4.0. Digital supply chain management (DSCM) is crucial in enhancing supply chain (SC) sustainability by integrating digital tools to improve efficiency, transparency, and environmental stewardship. This study aims to examine the impact of DSCM on SC sustainability, assess the role of a firm’s intellectual capital (IC) in adopting DSCM, and explore the mediating role of supply chain mapping between DSCM and SC sustainability. Focusing on Pakistan’s textile sector, we employed a mixed-method approach, starting with a quantitative analysis using Partial Least Squares Structural Equation Modelling (PLS-SEM), followed by a qualitative case study of two textile companies. Our findings reveal a significant positive relationship between IC and DSCM adoption, underscoring the importance of knowledge resources in leveraging DTs for SC improvement. However, the direct impact of DSCM on SC sustainability was not supported, indicating the need for intermediary processes or factors to enhance the sustainability outcomes of DSCM.

Digitalization Adoption Barriers in the Context of Sustainability and Operational Excellence: Implications for SMEs

In the global landscape, small and medium enterprises (SMEs) are increasingly enhancing their adaptability to capitalize on evolving market prospects. Industry 4.0 technologies, with their primary focus on improving operational excellence, hold immense potential for contributing to the sustainability of SMEs. These technologies optimize resources, repurpose materials, enable remote working, and minimize waste, thereby fostering a resilient business environment. In the current study, the authors have utilized the Technology, Organization, and Environment (TOE) framework to conduct a comprehensive literature review and identified the key barriers. Research questions and hypothesis were formulated. A questionnaire-based survey was conducted, involving 205 discrete manufacturing SMEs. The authors evaluated the proposed hypotheses using the Partial Least Square Structural Equation Modeling (PLS-SEM) technique to gain insights into their causal relationships. Identified barriers are categorized as adoption barriers, lack of in-house technology skills, readiness barriers, and adverse operational realities. The authors observed that lack of strategic planning, inadequate focus on processes and performance monitoring results in barriers that hinder the digitalization of SMEs. Further results anticipate that operational realities have a direct relationship with readiness barriers of SMEs. This implies that challenges such as workforce turnover, pricing pressures, last-minute design changes, overdue payments, and outdated infrastructure can lead to operational difficulties, resulting in suboptimal strategies, business plans, and ineffective processes. The findings of the current study also imply that implementing shopfloor industrial Internet of things (IIoT) to track performance and interventions through digital definitions of products and manufacturing can further strengthen processes. By incorporating the findings from this study, SME stakeholders can develop strategies to achieve operational excellence while fulfilling their sustainability goals.

Listening to Your Own Willingness to Continue Using Contact Tracing Apps: The Roles of Personal Norms

COVID-19 became a global epidemic after its breakout in December 2019. With the help of information technology, many countries developed contact tracing systems to reduce the spread of the epidemic. Although the WHO declared in May 2023 that COVID-19 is no longer a global public health emergency, the virus is still constantly changing and endangering individuals worldwide. In Taiwan, Social Distancing APP is a voluntary contact tracing app that has been downloaded and utilized approximately 9.5 million times. However, adoption remains low. To prevent the spread of the epidemic and encourage more people to use it, understanding the factors influencing continuance intentions to use social distancing apps is an important topic. The research model is composed of two parts: the modified expectation confirmation model (ECM) and personal norms. Our research model was assessed using data from a sample of 501 users of social distancing apps and was analyzed using the partial least squares structural equation model (PLS-SEM). The results of this study suggest that (1) personal norms are the most important factor influencing continuance intention, followed by satisfaction, perceived usefulness, and descriptive norms; (2) personal norms fully mediate the relationship between injunctive norms and continuance intention; (3) personal norms partially mediate the relationship between descriptive norms and continuance intention; (4) personal norms negatively moderate the relationship between satisfaction and continuance intention; and (5) personal norms positively moderate the relationship between disappointment and continuance intention. This study also discusses the implications of a modified ECM and personal norms for continuance intention to use contact tracing apps.

Investigating Consumers’ Purchase Resistance Behavior to AI-Based Content Recommendations on Short-Video Platforms: A Study of Greedy And Biased Recommendations

With the proliferation of personalized recommendation systems (PRS) such as Facebook, Amazon, and TikTok, the academic community has increasingly focused on AI-based recommendation systems. However, there remains a dearth of research that elucidates the adverse effects of AI-based recommendation algorithms and the underlying mechanisms through which these effects influence psychological and behavioral responses, particularly in terms of purchasing behavior. Drawing upon the Stressor-Strain-Outcome (SSO) model, this study aims to scrutinize the purported features of “greediness” and “bias” inherent in such algorithms, thereby investigating their impact on users’ negative psychological and behavioral responses. This investigation collected 473 online responses and used the partial least squares structural equation model (PLS-SEM) to empirically analyze the research model. The findings suggest that greedy and biased recommendation algorithms engender information narrowing, redundancy, overload, technological intrusiveness, and concerns about information disclosure. These stressors are associated with negative psychological and behavioral responses among users, which ultimately influence purchasing resistance behaviors on short video platforms. Consequently, the findings of this study contribute to a deeper understanding of the adverse implications of AI recommendation algorithms and provide valuable information for companies that offer short-form video applications.

Ready or not? Investigating in-service teachers’ integration of learning analytics dashboard for assessing students’ collaborative problem solving in K–12 classrooms

AbstractCollaborative problem solving (CPS) has emerged as a crucial 21st century competence that benefits students’ studies, future careers, and general well-being, prevailing across disciplines and learning approaches. Given the complex and dynamic nature of CPS, teacher-facing learning analytics dashboards (LADs) have increasingly been adopted to support teachers’ CPS assessments by analysing and visualising various dimensions of students’ CPS. However, there is limited research investigating K-12 teachers’ integration of LADs for CPS assessments in authentic classrooms. In this study, a LAD was implemented to assist K-12 teachers in assessing students’ CPS skills in an educational game. Based on the person-environment fit theory, this study aimed to (1) examine the extent to which teachers’ environmental and personal factors influence LAD usage intention and behaviour and (2) identify personal factors mediating the relationships between environmental factors and LAD usage intention and behaviour. Survey data of 300 in-service teachers from ten Chinese K-12 schools were collected and analysed using partial least squares structural equation modelling (PLS-SEM). Results indicated that our proposed model showed strong in-sample explanatory power and out-of-sample predictive capability. Additionally, subjective norms affected technological pedagogical content knowledge (TPACK) and self-efficacy, while school support affected technostress and self-efficacy. Moreover, subjective norms, technostress, and self-efficacy predicted behavioural intention, while school support, TPACK, and behavioural intention predicted actual behaviour. As for mediation effects, school support indirectly affected behavioural intention through self-efficacy, while subjective norms indirectly affected behavioural intention through self-efficacy and affected actual behaviour through TPACK. This study makes theoretical, methodological, and practical contributions to technology integration in general and LAD implementation in particular.

Are young adult consumers ready to be intelligent shoppers? The importance of perceived trust and the usefulness of AI-powered retail platforms in shaping purchase intention

Purpose The advancement of artificial intelligence (AI) has brought intelligent online shopping experiences to customers. AI-powered retail platforms deliver personalized shopping experiences through tailored recommendations, promotions and assistance. Given the increasing preference for online shopping, it is crucial to explore methods to optimize the adoption of AI-powered retail platforms. To address this, this study aims to examine the impact of technology readiness motivators (optimism and innovativeness) and inhibitors (discomfort and insecurity) on perceived trust, perceived usefulness and purchase intention toward AI-powered retail platforms. Design/methodology/approach Data were collected from 276 customers in Egypt, primarily from the millennial and Gen Z demographic segments. The collected data were then analyzed using the statistical package for social sciences (SPSS) and partial least squares structural equation modeling (PLS-SEM). Findings The findings revealed that optimism, innovativeness and discomfort significantly influence perceived trust, while optimism, insecurity and perceived trust significantly influence perceived usefulness. Both perceived trust and usefulness are significant predictors of purchase intention. Perceived trust mediates the effects of technology readiness motivators on perceived usefulness and purchase intention. Moreover, perceived usefulness mediates the effects of technology readiness motivators, insecurity and perceived trust on purchase intention. Originality/value To date, there are few investigations regarding the acceptance and adoption of AI-powered retail platforms in developing countries. Thus, this study offers valuable theoretical and practical implications in the context of smart retail technology adoption.

Kecenderungan Perilaku Narsis pada Penganggaran di Perguruan Tinggi

Within the scope of the company, the budget has a very important role in controlling and allocating financial resources. Budgetary slack is a crucial part of budgeting because it can affect company performance and managers' intentions. This research investigates the relationship that exists between narcissism and budgetary slack in the context of higher education institutions in Indonesia. In addition to considering the variable narcissism, this study also analyzes the role of gender as a moderating variable in this relationship. The approach taken by this study is quite unique, as it focuses on the Indonesian context and uses online survey methods in data collection. Data analysis was carried out using the Partial Least Square - Structural Equation Modeling (PLS-SEM) method. The results of this study provide interesting findings. One of the main findings is that the gender factor has an influence on the relationship between the level of narcissism and budgetary slack. Although it is hypothesized that narcissism can contribute to budgetary slack, this research finds that the influence of narcissism on budgetary slack cannot be confirmed in the context of higher education institutions in Indonesia. This shows the existence of complexity in the relationship between narcissism and budgetary slack which may be influenced by other factors that in the research gender factor turns out to influence.

Enhancing Operations for Sustainability in Indonesian SMEs through Climate Change Awareness and Business Orientation

This study aims to identify the level of climate change awareness among small-medium scale entrepreneurs (SMEs) and to investigate its impact on future business orientation, with individual self-perception acting as a mediating variable. Addressing a significant gap in the literature, this research explores the reciprocal influence between SMEs and climate change—an area previously underexplored. Conducted in West Sumatra, Indonesia, this study employs a quantitative causal analysis approach using Structural Equation Modelling-Partial Least Squares (SEM-PLS) for robust analysis. The findings indicate that while awareness and self-perception of climate change among SMEs are low, they significantly influence potential changes in business orientation. The study reveals that although many SMEs possess a high level of educational attainment, this does not necessarily translate into heightened awareness or self-perception regarding climate change. This disconnect underscores the critical role of tailored educational initiatives and support systems to bridge the gap between knowledge and action. Additionally, the study finds that SMEs often prioritize immediate financial stability over long-term environmental sustainability, driven by the necessity to meet daily operational demands. These results underscore the urgent need for pre-emptive government policies to guide SMEs toward sustainable practices. Effective interventions should include financial incentives, technical assistance, and educational programs designed to enhance climate change awareness and capabilities among SMEs. Furthermore, this study contributes to the field of industrial engineering by identifying opportunities to optimize SME operations. By integrating environmental sustainability into business strategies, SMEs can enhance their resilience and competitiveness while contributing to broader environmental goals. This research advances the understanding of the dynamic interplay between SMEs and climate change, providing a foundation for future studies aimed at promoting sustainable industrial practices.

A predictive model for collaborative leadership in digital transformation: Does it make a difference in Oman’s e-government performance?

Purpose This paper aims to investigate the role of collaborative leadership in government digital transformation in the Sultanate of Oman. To analyze collaborative leadership, the research examines four exogenous variables: self-directed team, power-sharing, relational intelligence and agility. The endogenous variable chosen to represent Oman's e-Government performance is organizational performance. Design/methodology/approach A quantitative method was applied to gather cross-sectional data in a questionnaire survey. Using a stratified sampling technique, the data were collected from 100 information and communication technology and e-government officials who assume leadership responsibilities. Partial least square structural equation modeling (PLS-SEM) examined measurement and structural models. Findings The role of collaborative leadership in the performance of government digital transformation in the Sultanate of Oman was examined in this study. Collaborative leadership was categorized into four exogenous variables: self-directed team, power-sharing, relational intelligence and agility. Oman’s e-government performance operationalized as the organizational performance was selected as the endogenous variable. The results show that the self-directed team and agility components of collaborative leadership significantly positively impacted the performance of government digital transformation in the Sultanate of Oman. Research limitations/implications The major limitation of this research was that the study covered only four collaborative leadership attributes: self-directed teams, power-sharing, relational intelligence and agility. The study should have covered building trust, commitment, emotional intelligence, vision and communication skills. Practical implications These results are important for government policy creators and decision-makers aiming to enhance government digital transformation performance by leveraging collaborative leadership. Social implications Addressing collaborative leadership in management can be done through awareness of its importance to critical decision-makers and embedding it in the organization's governance, policies and human resource career path. In particular, it is recommended that public sector leaders continuously monitor self-managing teams and teamwork practices within the organization. Originality/value The originality and contribution of the above article lie in its investigation of the role of collaborative leadership in the context of government digital transformation in the Sultanate of Oman. The study contributes to the existing literature by examining the impact of four exogenous variables, self-directed team, power-sharing, relational intelligence and agility, on collaborative leadership. Additionally, the research uses a quantitative approach and uses PLS-SEM to analyze the data. The findings highlight the significant positive impact of self-directed team and agility components of collaborative leadership on the performance of government digital transformation. These insights provide valuable implications for government policy creators and decision-makers aiming to enhance digital transformation in the public sector by effectively implementing collaborative leadership strategies.

A predictive model for collaborative leadership in digital transformation: Does it make a difference in Oman’s e-government performance?

Purpose This paper aims to investigate the role of collaborative leadership in government digital transformation in the Sultanate of Oman. To analyze collaborative leadership, the research examines four exogenous variables: self-directed team, power-sharing, relational intelligence and agility. The endogenous variable chosen to represent Oman's e-Government performance is organizational performance. Design/methodology/approach A quantitative method was applied to gather cross-sectional data in a questionnaire survey. Using a stratified sampling technique, the data were collected from 100 information and communication technology and e-government officials who assume leadership responsibilities. Partial least square structural equation modeling (PLS-SEM) examined measurement and structural models. Findings The role of collaborative leadership in the performance of government digital transformation in the Sultanate of Oman was examined in this study. Collaborative leadership was categorized into four exogenous variables: self-directed team, power-sharing, relational intelligence and agility. Oman’s e-government performance operationalized as the organizational performance was selected as the endogenous variable. The results show that the self-directed team and agility components of collaborative leadership significantly positively impacted the performance of government digital transformation in the Sultanate of Oman. Research limitations/implications The major limitation of this research was that the study covered only four collaborative leadership attributes: self-directed teams, power-sharing, relational intelligence and agility. The study should have covered building trust, commitment, emotional intelligence, vision and communication skills. Practical implications These results are important for government policy creators and decision-makers aiming to enhance government digital transformation performance by leveraging collaborative leadership. Social implications Addressing collaborative leadership in management can be done through awareness of its importance to critical decision-makers and embedding it in the organization's governance, policies and human resource career path. In particular, it is recommended that public sector leaders continuously monitor self-managing teams and teamwork practices within the organization. Originality/value The originality and contribution of the above article lie in its investigation of the role of collaborative leadership in the context of government digital transformation in the Sultanate of Oman. The study contributes to the existing literature by examining the impact of four exogenous variables, self-directed team, power-sharing, relational intelligence and agility, on collaborative leadership. Additionally, the research uses a quantitative approach and uses PLS-SEM to analyze the data. The findings highlight the significant positive impact of self-directed team and agility components of collaborative leadership on the performance of government digital transformation. These insights provide valuable implications for government policy creators and decision-makers aiming to enhance digital transformation in the public sector by effectively implementing collaborative leadership strategies.