Technology Organization Environment Framework Research Articles

Exploring high-performance green innovation in China’s logistics companies: a TOE framework based on fsQCA

In recent years, the Chinese logistics industry has experienced rapid development. However, this expansion is accompanied by significant challenges, including high energy consumption and greenhouse gas emissions. Despite these issues, the key factors improving logistics firms’ green innovation remain insufficiently explored. This study fills this gap by utilizing the Technology-Organization-Environment (TOE) framework as a foundation, introducing a comprehensive analytical model to investigate the dynamics of green innovation in logistics companies. Moreover, after employing fuzzy-set Qualitative Comparative Analysis (fsQCA) with data from 83 logistics firms in China, the research examines the complex interplay between technological, organizational, and environmental factors and their strategic influence on green innovation performance. The study yields three pivotal findings: (1) High-level green innovation performance is not predicated on a single factor. (2) Logistics firms can attain superior green innovation performance through two driving paths: Core competencies and market pressure driven as well as technological innovation and government subsidies driven. (3) The analysis of low-level green innovation performance reveals that four distinct paths can culminate in this outcome, with the lack of digitalization, organizational slack, and market pressure being instrumental in this result. These insights highlight the principles of “multiple concurrency” and “different paths leading to the same goal,” significantly enhancing the current knowledge base on green innovation performance and deepening our understanding of the multifaceted drivers of high-performance green innovation in logistics companies. Moreover, the discoveries offer practical implications for firms and the government to improve green innovation performance within the logistics industry.

Understanding Determinants of Management Simulation Games Adoption in Higher Educational Institutions Using an Integrated Technology Acceptance Model/Technology–Organisation–Environment Model: Educator Perspective

Background and Methods: A primary survey of a multi-national sample of higher institutional educators has been conducted to investigate the determinants of the adoption of management simulation games. The research model is developed based on the technology acceptance model (TAM) and technology–organisation–environment (TOE). Structural equation modelling has been used to test the research model. The paper focuses on the use of management simulation games among educators in higher educational institutions (HEIs). Its purpose is to determine the factors influencing educators’ use of these games from both individual and institutional perspectives. The TAM captures the individual perspective, while the TOE framework addresses the institutional perspective. The structural equation model confirmed most of the TAM hypotheses. Results: However, the model does not support the hypotheses regarding the relationship between perceived ease of use and attitude toward usage or between perceived ease of use and perceived usefulness. The technological factors within the TOE framework did not significantly impact perceived usefulness, only perceived ease of use. Conclusion: The combined TAM-TOE model has demonstrated valid representativeness. Previous research on the usage of management simulation games has primarily focused on students, neglecting the broader perspective of educators in HEIs in business and economics within both the TAM and TOE frameworks.

Implementing Mobile Cloud Computing in Higher Education Institutions: A Qualitative Investigation of Influential Factors

Aim/Purpose: The primary goal of this research is to analyze the factors that influence the implementation of Mobile Cloud Computing (MCC) in Higher Education Institutions (HEIs). Background: Despite MCC’s benefits in lowering technology and administration costs, HEIs, particularly in developing countries such as Palestine, are skeptical and hesitant to use this technology. This research provides a model of MCC implementation based on the Technology-Organization-Environment framework (TOE) combined with the Diffusion of Innovation (DOI) model. Methodology: Data were collected through qualitative semi-structured interviews with a targeted sample of ten IT experts and professionals from Palestinian Higher Education Institutions (PHEIs) and local cloud service providers. The obtained data was examined using thematic analysis in the NVIVO software. Contribution: The findings can be used as a guide for introducing MCC in higher education settings. It will lead to a better understanding of MCC implementation by HEIs, which can help institutions harness the benefits and progress offered by MCC, enabling them to overcome challenges and enhance their operations. The study will provide valuable suggestions for the initial steps HEIs can take towards MCC implementation. Moreover, it will benefit cloud service providers, as it will enhance their understanding of the factors that influence MCC implementation in HEIs. This will help them tailor their services and solutions better to meet the unique needs and requirements of the higher education sector. Findings: The results show that data security risks, relative advantages, compatibility, complexity, top management support, competitive pressure, and cloud service provider support all have a substantial impact on MCC implementation. The interviewed IT specialists also proposed two new contributing factors (technology readiness and government support). Recommendations for Practitioners: The results are expected to aid decision-makers at HEIs and cloud service providers by focusing on the crucial role of the factors that appeared in the study. Recommendation for Researchers: It is recommended that researchers in future studies test the proposed model in settings and cultures different from the context in which this study was conducted. In addition, surveying the opinions of other stakeholders and adding other factors not included in the research are important to provide different perspectives and generalize the results. Impact on Society: Understanding the factors that influence the implementation of MCC in HEIs can enhance access to educational resources for both learners and teachers while promoting innovation in teaching and learning. Additionally, this understanding aids in the development of educational institutions, enabling them to contribute to societal progress by improving the quality of education and fostering global cooperation, ultimately leading to the advancement of society. Future Research: Examining the long-term effects of MCC implementation on educational outcomes, student performance, and institutional efficiency will offer valuable insights into the enduring advantages and possible limitations of these technologies. Future research should also investigate the impact of emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML) in enhancing the functionality and effectiveness of MCC within educational environments. Furthermore, conducting comparative research across various regions and educational systems might help to identify the socioeconomic factors that influence MCC acceptance and implementation.

Exploring the Adoption of E-Commerce among Small and Medium Enterprises in Saudi Arabia: A Technology-Organization-Environment Perspective

This study investigates the factors influencing e-commerce adoption among Saudi Arabian Small and Medium Enterprises (SMEs) using the Technology-Organization-Environment (TOE) framework. The research aims to identify key determinants that either facilitate or hinder e-commerce adoption in the Saudi context. A web-based survey was conducted among 480 Saudi Arabian SMEs (32% owners, 68% managers), employing multiple regression analysis to test eight hypotheses derived from the TOE framework. Variables were measured using established scales with Cronbach's alpha exceeding 0.80, examining eight independent variables across technological, organizational, and environmental contexts. Results revealed technology infrastructure as the strongest predictor (β = .576, p < .001), followed by IT human resources (β = .341, p < .001), business infrastructure (β = .156, p = .008), business partner pressure (β = .123, p = .039), and technical infrastructure (β = .075, p = .015). Notably, competitive pressure, government support, and firm size did not show significant influence on e-commerce adoption. The model explained 33.3% of the variance in e-commerce adoption. Study limitations include its cross-sectional design, sample size representing less than 10% of total Saudi SME population, and potential limited generalizability beyond the Saudi Arabian context. Future research should consider longitudinal studies and cross-country comparisons. The findings suggest organizations should prioritize investment in technology infrastructure and IT human resources, while policy makers need to reassess current support mechanisms for SME digital transformation. Technology providers should focus on integrated solutions addressing both technical and business infrastructure needs. These results can inform strategies to achieve Saudi Vision 2030 digital transformation goals. This study provides the first comprehensive analysis of e-commerce adoption factors among Saudi SMEs using the TOE framework, challenging traditional assumptions about technology adoption drivers and offering evidence-based insights for stakeholders involved in Saudi Arabia's digital transformation.

Equifinal configurations of shaping ambidextrous environmental strategy and the subsequent performance outcome

PurposeThis study explores the antecedent configurations shaping ambidextrous environmental strategy (AES) and the subsequent performance outcomes. The lack of literature from the configurational perspective and inconsistent performance results suggest that this study has significant implications for practitioners, policymakers and the public. Therefore, this study aims to investigate how different antecedent conditions interact to shape AES and subsequent performance outcomes.Design/methodology/approachTo achieve the research aims, the current research utilize research techniques based on technology–organization–environment framework and configurational perspective. This study collects data from 317 Chinese manufacturing enterprises and tests the theoretical framework using fuzzy set qualitative comparative analysis and propensity score matching.FindingsPerceived institutional pressure, green supply chain integration and digital technology adoption form four paths that lead to the existence of AES. There are four sets of replaceable conditions between distinct paths. In addition, except for configuration P3, all other configurations promote environmental, operational and financial performance.Research limitations/implicationsOur results provide new insights for enterprises to shape AES and achieve multiple performances, and new ideas for promoting environmental policies and public environmental awareness.Originality/valueThis study adds literature on AES and confirms multiple drivers, revealing their interaction mechanisms and key antecedent conditions. In addition, this study promotes the performance practice of AES by examining different AES configurations that achieve triple performance and insignificant operational performance.

Digital transformation adoption and its influence on performance: an empirical study of creative companies in Vietnam

The purpose of the study clarifies the digital transformation adoption and how it impacts on the performance of creative companies in Vietnam. This investigation applied the technology–organization–environment framework and the structural equation modeling approach. The data was collected from 674 survey participants who are middle and senior managers or owners of creative companies in Vietnam, mainly located in Hanoi and Ho Chi Minh City. The structural equation modeling analysis indicates a positive relationship between technological, organizational, and environmental factors, and digital transformation adoption; the digital transformation adoption positively affects a company performance. These findings substantially contribute to the knowledge of digital technologies, digital transformation, company performance, and creative industries in the context of technology, organization, and environment. This research also provides insights for policymakers, readers, scientific communities, and management levels of creative industries to understand more about the environment of Vietnam’s creative industries.

Palestinian small and medium enterprises digital technology adoption intention

This study aims to examine the factors determining Palestinian Small and Medium Enterprises (SMEs) Digital Technology (DT) adoption intention. A modified Technology Organisation Environment (TOE) framework integrated with the Technology Acceptance Model (TAM) theory is employed. Data was collected via a questionnaire as a sample for the quantitative approach, and experts’ semi-structured interviews as a sample for the qualitative approach is conducted. The findings presented in this study reveal that SMEs factors such as Business Model, and Enabling Regulatory Environment, are the major factors affecting DT intention adoption by SMEs in Palestine. The study findings determine the enablers and obstacles to SMEs' DT adoption intention. This study contributes significantly to the theoretical understanding of DT adoption via developing a DT framework for the SMEs in Palestine. This study's major contribution to the existing knowledge and literature in DT adoption is via developing a TOE framework for providers (supply-side) factors in general and in Palestine to fill the gaps in past studies and surge the concept and dimensions of technology acceptance from being mobile banking adoption to all DT adoption applications implemented by SMEs. The findings could be useful to policymakers, government agencies, Palestine, and other development partners to design and direct their policy interventions. This study emphasized the importance of digital technologies adoption by SMEs that will improve processes, drives innovation and enhance customer involvements.

Multiple Paths to Green Building Popularization Under the TOE Framework—A Qualitative Comparative Analysis of Fuzzy Sets Based on 26 Chinese Cities

Green buildings are a crucial element in achieving sustainable development. The use of green buildings can save energy and reduce greenhouse gas emissions. Promoting the widespread adoption of green buildings has become a significant concern in many countries or regions. Although previous studies have identified a range of key factors influencing the promotion of green buildings, further analysis of the combination of these critical factors needs to be conducted. Therefore, based on the technology–organization–environment (TOE) framework, this study utilizes the fuzzy-set qualitative comparative analysis (fsQCA) method to analyze survey data from 26 cities in China, resulting in four high-level configuration paths for the widespread adoption of green buildings. The results indicate that (1) achieving high levels of widespread adoption of green buildings does not depend on any single factor; instead, it relies on the collaborative interaction of multiple elements across technological, organizational, and environmental dimensions; (2) the potential substitution relationships between conditional variables among different configurations within the TOE framework indicate that science and technology expenditure and gross domestic product play more significant roles in the path combinations for the promotion of green buildings; (3) through the study of the substitutive relationships of four configuration paths, it was found that when a city faces challenges in the widespread adoption of green buildings, such as an insufficient number of green building technology patents or underdeveloped green finance incentive systems, it can still achieve efficient green building adoption by formulating corresponding policies and enhancing cultural value guidance for groups like developers, contractors, and consumers. Conversely, the same is true. This paper explores the combination of critical factors in green building adoption, providing insights into addressing the differing foundational conditions of cities in the process.

The Impact of Technological-Organizational-Environmental (TOE) Factors on Homestay Performance

Homestay have been a part of the tourism industry for a long time, however, their prevalence is still lower than the other travel-related services. Determining the factors that homestays should have to improve their performance and level them with other tourism services is the goal of this pilot study. Thus, this study aims to investigate how homestay performance can be improved by using the TOE Framework. To do this, a self-administered questionnaire was distributed among 50 homestay coordinators in the pilot study. To verify the validity and internal consistency of the measures, a few tests were carried out on the data by using SPSS 29 software. The three factors examined in this study which are technology, organization and environment factors were all determined to be significant. The findings show that homestays should give each of these factors top priority if they want to improve their performance and stay competitive in the tourism industry. In conclusion, the uniqueness of this study has contributed to the development of the most effective homestay business plan and provided empirical data for the study, both of which are essential resources for decision-makers engaged in the execution of future research.

The Driving Factors and Path Selection for the Development Level of China’s Mariculture—A Dynamic Analysis Based on the TOE Framework

Mariculture is a key practice to promote the supply-side reform of fishery, and it is of strategic significance to explore the causes and paths of its high-level development. Based on the TOE (Technology-Organization-Environment) theoretical framework and the configuration methodology, this paper adopts the dynamic qualitative comparative analysis (QCA) method and panel data from 10 coastal provinces and cities in China from 2013 to 2021 to explore the configuration effects of six antecedents, namely, the intensity of technology promotion, investment in scientific research, personnel specialization, industry intensification, nearshore water quality, and offshore pollution discharge, along temporal and spatial dimensions, on the level of mariculture development. The results show that (1) individual driving factors do not constitute the necessary conditions for a high level of mariculture industry development, but the necessity of the three conditions—research funding, industry intensification and nearshore seawater quality—shows a general increasing trend; and (2) the results of the path analysis show that a total of seven configuration paths for a high level of development are generated, which can be further classified into “organization-led and technology synergistic”, “technology-organization-environment multiple-driven type”, and “technology-environment dual-driven type”. Based on the panel data, this study explores the impact of spatial and temporal changes in factor combinations on the development level of mariculture and provides a theoretical basis and practical insights for the development of locally adapted execution pathways.

Research on the Configuration Path of Innovation Performance of Strategic Emerging Enterprises

As vehicles for implementing innovation-driven strategies, the strategic emerging industries are crucial for enhancing national competitiveness and sustainable development. Improving innovation performance in these industries has been a central focus of academic research. Notably, existing studies have primarily analyzed the net effects from a single perspective. This study examined 261 strategic emerging Chinese enterprises listed on the A-share market. Utilizing the Technology–Organization–Environment framework and fuzzy set qualitative comparative analysis, this study explores the impact paths and mechanisms of the coupling configurations of technology, organization, and environment to enhance enterprises’ innovation performance from a configuration perspective. We discovered that, first, no single antecedent condition is necessary to achieve high enterprise innovation performance. However, increasing the level of digital transformation and intensity of innovation investments universally results in high innovation performance. Second, the technological, organizational, and environmental conditions exhibit “multiple concurrency”, forming diverse configurations that drive enterprise innovation performance; hence, the driving paths of enterprise innovation performance are varied. Third, four schemes exist for achieving high innovation performance in strategic emerging enterprises: environment-driven under technological dominance, technology–organization driven type, organization-driven under technological–environmental dominance, and technology–organization–environment co-driven type. Exploring the synergistic paths driving innovation performance from a configuration perspective enhances our understanding of the complex interactions among multiple factors in improving such performance. This provides significant theoretical and practical implications for enterprises aiming to improve their innovation performance.

Chatbots adoption intention in public sector in Malaysia from the perspective of TOE framework. The moderated and mediation model

Purpose This paper aims to investigate the motivating factors for Malaysian governmental agencies (MGAs) to embrace chatbot technology. Design/methodology/approach Based on the technology-organisation-environment (TOE) framework, using purposive and snowball sampling techniques, 262 online data from the MGA top management were gathered. Smart PLS4 was employed to test the hypotheses of the study. Findings The findings demonstrated positive relationships between technological readiness (TR), big data analytics (BDA), organisational readiness (OR), organisational learning capabilities (OLC) and governmental policies (GP) concerning chatbot adoption intention and also the relationship GP with OR. A mediating effect was also observed, which indicated the OLC role in positively mediating BDA, the OR role in positively mediating OLC and the OR role in positively mediating GP with OR and OLC as sequential mediators in the relationship between BDA and chatbot adoption intention. Furthermore, the presence of citizen demand (CD) strengthened the relationship between TR, OR and chatbot adoption intention. Research limitations/implications This study was limited to Malaysian federal government agencies who still not adopting Chatbots. Practical implications The findings offer valuable insight into factors affect the adoption of chatbots among Malaysian government agencies. Stakeholders, including department heads, can use these findings to strategically enhance counter service by promoting chatbot adoption. Originality/value The study demonstrated that the TOE framework was effective in identifying the factors contributing to the decision-making process for adopting chatbots across MGAs. Organisational readiness and organisation learning capability was found to sequentially mediate the relationship between big data analytic and intention to adopt chatbot. Citizen demand was found to have moderation effect on the relationship between organisational readiness and technological readiness towards the intention to adopt a chatbot.

Digital Organizational Culture, Organizational Readiness, and Knowledge Acquisition Affecting Digital Transformation in SMEs from Food Manufacturing Sector

Small and medium-sized enterprises (SMEs) operating in Thailand’s food manufacturing sector face increasing pressure to embrace digital transformation. This study explores the critical factors influencing digital transformation in SMEs, focusing on digital organizational culture, knowledge acquisition, and organizational readiness. Drawing upon the Technology–Organization–Environment (TOE) framework, we investigate the relationships between digital organizational culture, knowledge acquisition, organizational readiness, and digital transformation. Data were collected from 198 food manufacturing SMEs using purposive sampling and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Our findings underscore the pivotal role of digital organizational culture and knowledge acquisition in facilitating digital transformation within Thai SMEs. We also reveal that organizational readiness acts as a full mediator, significantly impacting the success of digital transformation initiatives. Practically, this study highlights the importance of fostering a robust digital organizational culture through collaborative efforts and advocating for knowledge exchange from external sources. Additionally, it emphasizes the need for SMEs to allocate resources and prioritize readiness for change to ensure seamless digital transformation. Theoretically, our research contributes to a deeper understanding of the digital transformation journey within the context of SMEs in the food manufacturing industry. By aligning with the TOE framework, we provide valuable insights tailored to SMEs, offering guidance for navigating the complexities of digital transformation in today’s rapidly evolving business landscape.

Adoption Intention of Blockchain Technologies for Sustainable Supply Chain Management in Indian MSMEs

This study explores the determinants of the intention to adopt blockchain technology for sustainable supply chain management in Indian micro, small, and medium enterprises. Different from existing studies that advocate the use of socio-technical theory for blockchain technologies, we develop a new theoretical framework, called “SOS,” based on a review of the existing literature. This is an adaptation of the technology–organization–environment framework that examines the measures and scales from socio-technical, organizational, and sustainability contexts. We use ADANCO 2.3.2 for variance-based structural equation modeling. The results show that two of the nine hypotheses are negatively significant, while the rest are positive. In our context, social sustainability and computer self-efficacy are strongly negatively significant for the adoption intention of blockchain technology in our context. Software quality and environmental sustainability are strongly positively significant. Meanwhile, collaboration, economic sustainability, and relative advantage mediated by experience are positively significant. Our study contributes to the literature by offering a new theoretical framework, fresh insights from the Indian industry, and several recommendations to practitioners.

Technological, organisational and environmental drivers of sustainability in hotels

Purpose: This study aims to analyse the position of 155 hotel managers in Africa and Asia about implementing sustainability practices (SP) focussing their competitive advantage (CA). Sustainability practices and CA are explained through the technology-organisation-environment (TOE) framework within the hospitality, tourism and travel industries.Design/methodology/approach: The Structural Equation Model based on Partial Least Squares (SEM-PLS) methodology was applied to hotels in African countries, including South Africa, as well as Asia. Six variables were analysed in order to study the impact of SP in CA.Findings/results: Findings imply that technological advancements, organisational commitments and environmental considerations collectively foster robust SP in emerging economies. The adoption of eco-friendly technologies (TS), the integration of sustainable policies (OS) and adherence to environmental regulations (ES) collectively contribute to the sustainability goals of hotels.Practical implications: The study reveals that hotels in emerging markets should strategically emphasise the TOE framework to enhance SP and CA. Investing in advanced technologies, implementing effective organisational practices and adhering to environmental standards significantly improve sustainability performance.Originality/value: While the TOE model has been extensively studied across various industries, limited research has explored its application in tourism. This study uniquely investigates how SP can enhance CA in the tourism sector through comparative analysis.

Adopsi Teknologi Sistem Cad/Cam Pada Industri Tekstil Dan Garmen

Industry of textile and garment is one of the national priorities, but the industrial growth slowing down, this is due to the condition of an old machine. In industry of textile and garment, techgnology CAD/CAM system is relative new technology and has been provided by the vendors CAD/CAM systems, however the adoption rate is still low. Therefore, it is necessary to measure the extent of the influence from the factors that influence adoption technology CAD/CAM systems. This study aims to identification factors that affect the adoption technology CAD/CAM systems and develop a model CAD/CAM systems adoption. This model was developed from basic models the technology organization environment (TOE) framework and individual context. Ten hypotheses were develop in this study and data processing use method Partial Least Square (PLS) with software Smart PLS 4.0 Survey was conducted using questionnaires, successfully raised as much as 94 respondent from large textile and garment companies. Results of this research are proofing factors positive effect to adoption technology CAD/CAM systems are Relative Advantage, Compability, Complexity, Cost, Top Management Support, Technical Skill, Export Orientation, External Pressure, External Support and CEO’s or CIO’s Knowledge Level.

Measuring Hotel Financial and Non-Financial Performance in Thailand: The Application of Technology-Organization-Environment (TOE) Framework

Guided by the Technology-Organization-Environment (TOE) framework, the current study aims to test the impacts of organizational factors, technological factors, and environmental factors on the financial and non-financial performance (or goals) of hospitality firms. Unlike several empirical studies in the past, this study attempted to compare the effects of these factors on financial and non-financial performances. The authors proposed the contributions with clearer and more specific recommendations and a greater understanding of how managers can improve and adjust their strategic plan and implementation to achieve long-term firm performance. The data analysis was structural equation modeling. Prior to the data analysis, reliability and validity tests were conducted to certify the quality of the data. After screening the data carefully, based on 350 hospitality firms in Thailand, including 3–5-star hotels in Thailand representing all parts of the country, the results indicated that organizational factors and technological factors had significant effects on both financial and non-financial performance. The environmental factor demonstrated no significant effect on financial and non-financial performance. Moreover, for the theoretical contribution, this study provided empirical research by applying the TOE framework in the context of the hospitality industry, presenting that organizational factors and technological factors had significant impacts on the firm performance. Discussion with the past literature provided deeper insights into the findings. Research conclusions and practical recommendations were also provided.

Adoption of mobile applications (apps) for information management in small agribusiness enterprises – an exploratory mixed-methods study of Farmer Producer Companies in India

Purpose Small farmers in India are collectivized and legalized as Farmer Producer Companies (FPCs) to progress in agri-food value chains as small agribusiness enterprises. FPCs are dependent on timely information for their sustainability and profitability. Mobile apps are a cost-effective form of information and communication technology. Hence, the purpose of this study is to explore the major determinants of mobile apps adoption by FPCs. Design/methodology/approach Quantitative and qualitative data are collected by administering a semi-structured questionnaire and conducting in-depth interviews with board members of 115 FPCs, with a total membership of 30,405 farmers operating in 14 districts of the state of Kerala, India. The logit model is used for quantitative analysis, while dialog mapping is used for qualitative analysis, based on an integrated technology acceptance model and technology organization environment framework. Findings Logistic regression results evidence that amongst FPC characteristics, while company size and age are significantly impacting apps adoption, there is no significant association between board size, education level, multiple commodities business or export intention of companies on apps adoption. Digital literacy and technical hands-on training for FPC board members are quintessential to facilitate mobile apps adoption. Practical implications The findings are pertinent to policymakers to earmark funds for technical handholding and digital upskilling of FPCs. The need for developing comprehensive, location-centric, farmer-friendly apps by agritech companies is evidenced. Originality/value To the best of the authors’ knowledge, this is a pioneering work in the domain of mobile apps adoption from a farmers’ agribusiness enterprise perspective in an emerging market economy using a mixed-methods approach.

Mobilizing DevOps: exploration of DevOps adoption in mobile software development

PurposeThe purpose of this study is to investigate the factors facilitating and influencing the adoption of DevOps practices specifically tailored to mobile software development, with a focus on understanding the influence of mobile-specific requirements on DevOps integration.Design/methodology/approachThe study employs a qualitative methodology, including a literature review, exploratory case research and partial quantitative assessments through DORA metrics and survey applications. This approach, guided by the Technology-Organization-Environment (TOE) framework, prioritizes in-depth insights into the adoption of DevOps practices and explores strategies for integrating DevOps in mobile software development.FindingsThe research identifies several key themes specific to Mobile DevOps adoption, including tool integration issues, testing complexities, deployment challenges and security concerns. These findings underscore the necessity for tailored DevOps solutions that can effectively address the unique demands of mobile software development. The study also proposes actionable strategies to overcome these challenges, thereby enhancing the efficiency, quality and security of mobile applications.Practical implicationsThe insights gained from this study provide valuable guidance for practitioners in the mobile software development sector. By understanding and addressing the specific challenges of Mobile DevOps, organizations can improve their DevOps practices and achieve better outcomes in terms of project delivery speed, quality and security. For example, implementing robust testing strategies, investing in compatible tools and developing well-defined rollback procedures can significantly enhance Mobile DevOps effectiveness. Furthermore, incorporating continuous security measures and improving cross-functional collaboration can lead to more secure and efficient mobile application deployments.Social implicationsThis study offers valuable starting points for researching Mobile DevOps in real-world settings, based on insights from practical DevOps implementations in a single-case organization. Organizations can use this information to compare their own DevOps approaches with those of the studied organization, and can facilitate self-assessment and improvement.Originality/valueThis study contributes to the limited literature on Mobile DevOps adoption and proposing actionable strategies. By incorporating the TOE framework, it provides a comprehensive guide that enhances understanding and management of DevOps practices throughout the mobile application development lifecycle and offers significant value to practitioners and researchers alike.

Fuzzy synthetic evaluation of the critical drivers of UAVs’ deployment for construction in Nigeria

PurposeThe slow adoption of unmanned aerial vehicles (UAVs) in the construction industry, particularly in developing countries like Nigeria, underscores the need for a deeper understanding of the critical factors influencing their adoption. This study aims to identify these factors using the Technology-Organization-Environment (TOE) framework and address uncertainties in their prioritization through Fuzzy Synthetic Evaluation (FSE). The utility of this approach lies in its ability to provide construction organizations with actionable insights to enhance operational efficiency and competitiveness through effective UAV adoption.Design/methodology/approachA post-positivist philosophical stance was adopted, wherein quantitative data were gathered from construction professionals in Nigeria via a questionnaire survey. The collected data were analyzed using the Cronbach alpha test as a measure of internal consistency and the FSE test to synthesize critical drivers for the adoption of UAVs.FindingsThe study found that drivers related to technology and organization are the most critical drivers. This implies that variables related to technology and organization warrant a higher level of focus if UAVs are to continue gaining popularity within the construction industry. Additionally, this study identified that logistic management, construction monitoring and site surveying represent the most critical areas of UAV application within the construction industry.Practical implicationsThe emphasis on technology and organizational drivers as critical factors suggests that construction companies should prioritize investments in technology infrastructure and cultivate an organizational culture that embraces innovation. This may involve providing training to construction professionals to enhance their technological skills and fostering a leadership culture that champions technology adoption.Originality/valueThis study introduces novelty by applying the TOE framework, which has received limited attention in UAV adoption studies within construction. Additionally, the use of FSE addresses uncertainties in prioritizing critical drivers, particularly relevant in developing countries facing unique technological challenges. By assigning priority to these factors, this research lays the groundwork for a more informed and strategic approach to UAV adoption.