Technology Organization Research Articles

Exploring the Link Between Social Media Adoption and Saudi Arabia SME’s Sustainable Performance: The Moderating Role of COVID-19

Small and medium-sized enterprises (SMEs) use social media to communicate effectively with stakeholders. However, little is known about the influence wielded by social media adoption on sustainable performance during COVID-19. Based on the technology–organization–environment (TOE) framework, our study developed an integrated model to explore the factors affecting social media adoption and its effect on sustainable performance in SMEs in the Saudi Arabian context. The quantitative method of a survey was used to collect data from SMEs owner-managers and CEOs. Partial least square was used to analyze data collected from 609 respondents. The findings revealed that environmental factors (i.e., the intensity of the competition, competitive pressure, and the bandwagon effect), technological factors (i.e., relative advantages and compatibility), and organizational factors have been the key drivers of social media adoption in SMEs during COVID-19. It also indicated that social media adoption is a key predictor of social, environmental, and economic sustainability. This study provides SMEs with meaningful implications about ways of fostering sustainable performance.

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.

The Future Museum: Integrating Augmented Reality (AR) and Virtual-text with AI-enhanced Information Systems

This study examines how AR, virtual text, and AI in future museums affect visitor engagement, knowledge acquisition, emotional response, and social interaction. The study uses econometrics equations, text analysis, thematic qualitative data analysis, and agent-based modelling. The economic models show that virtual text type, depth of knowledge, personalization, accessibility options, and AR museum experiences increase visitor engagement, knowledge, emotional response, and social interaction. Thematic analysis displays visitor viewpoints such as AR curiosity, personalization, and cultural significance, while correlation matrices indicate their relationships. Bayesian econometrics, text analysis, thematic qualitative data analysis, and agent-based modelling are used to explore museum visitors' interactions with augmented reality, virtual text, and AI-enhanced information systems. These devices improve visitor engagement, social connection, emotional response, and information collection. Self-reported data biases, context biases, and rapid technological advancement limit the study. Museums can benefit from user-centric technology, AR, personalization, and cultural knowledge. The main findings reveal that these technologies significantly increase museum visitors, emphasizing that future museum administration and design must carefully adopt new technology. The findings may affect museum staff, designers, and decision-makers. Learning important technology factors improves AR, virtual text, and AI-enhanced information system design and deployment decisions. UX design prioritizes visitor choices, while immersive and integrated displays connect museum experiences. These practical implications force museums to actively and practically integrate technology to stay relevant. The project's findings, practical insights, and visitor experiences will improve future technological and cultural organisation research. The whole process contributes to the discussion on how emerging technologies affect museum experiences and innovation and decision-making in the ever-changing cultural heritage context.

Second Version on A Centralized Approach to Reducing Burnouts in the IT industry Using Work Pattern Monitoring Using Artificial Intelligence Using MongoDB Atlas and Python

Industry burnout is interlinked with cultural, individual, physical, or emotional exhaustion, and social factors, the resolution of which requires the technology-driven trends in the workplace and the technologies such as work pattern monitoring and Artificial Intelligence that can deal with large amounts of data. Industries face a gigantic problem i.e., employee burnout which can charge a firm loss in numerous hours and thousands of dollars every year. The more advanced companies use work pattern monitoring using Artificial Intelligence to make their employees work more professionally. In this research my attempts to understand the development and leadership, on the effects of work pattern monitoring using Artificial Intelligence technology on information technology organizations (Sasibhushan Rao Chanthati, 2022). In this updated second version, the data of the employees will be stored on a cloud server with governance & compliances. The study discussed the development of methods which are configured as two different system interfaces, which are of minimum valuable product (MVP) and the results obtained from the two approaches. The system will provide work pattern monitoring via the ‘Real-Time Database – MongoDB Atlas’ which will synchronize the employee burnout data to improve the employee experience. This research also illustrates the advantages and disadvantages of the proposed solutions. “Burnout Detection Mechanism” that will help Industry management and Human Resource Management to manage the emotional state of the employees, understanding their real state. The study conducted a self-survey, and the outputs of the surveys are explained in this paper. The sample data we are using is mainly focused on information technology employment perception.

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.

Middle Stone Age technological organisation from MIS 5 at Mertenhof Rockshelter, South Africa

Lithic technological organisation within the southern Africa Early Middle Stone Age (∼315,000–80,000 years ago) has seen relatively little investigation owing to the subtly of technological change, frequent use of locally derived raw materials, and the archaeological spatio-temporal discontinuity. This has resulted in relatively limited use of explanatory models for technological variability, including mobility, provisioning, tool production, and core reduction strategies. This paper uses 2952 artefacts to test the lithic technological organisation across Marine Isotope Stage 5 units of Mertenhof Rockshelter. Here we argue that the scales and concepts currently used to approach Early Middle Stone Age technology requires reconsideration. The Mertenhof sequence exhibits high proportions of non-local raw materials with their transport reflective of tactical adjustments within relatively stable mobility, provisioning, and reduction strategies. We demonstrate that Early Middle Stone Age populations maintained a diverse array of tactical solutions across these strategic domains, offering a durable and flexible strategy that would be adapted to changing contexts.

Technological and Dietary Responses to Holocene Climate Events in the Northern Great Basin

ABSTRACT Environmental instability caused by extended periods of drought no doubt impacted past human populations by limiting economic options and driving changes in social and technological organization. Here we examine two sets of Great Basin sites with occupations spanning the middle and late Holocene droughts: one associated with lowland springs and another with upland springs. We use dietary markers retrieved via starch granule analysis to evaluate whether artifact form relates to resources processed, how changes in tool form might be related to past changes in climate, environment, and social organization, and what, if any, differences mark upland vs. lowland resource use. Our data suggest that changes in tool form track with environmental fluctuations and that in both upland and lowland settings diets focused primarily on tubers and high-return seeds and that these profitable and stable food sources likely anchored populations during periods of drought.

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.

Typology and Development of Value Chains in Science, Technology and Innovation Organizations: Efficiency of Operating Model

The structure and activities of science, technology and innovation organizations should be reviewed in planning for change in accordance with (a) a framework operating model, (b) principles of organizational structures and (c) value chains in order to identify (1) areas of inefficiency, (2) the existence and maturity of chain links as well as (3) gaps with best practice. The operating model of organizations, whose support, development and effectiveness are influenced by legislation, budget and external factors, includes many components, from management policy to culture. Changes in organizational charts together with renaming of departments sometimes look like promising reforms. However, in any case, values brought by organizations should be put on the agenda. Social effect of science, technology and innovation as a contribution to public good or a measure of the social good extend to groups in society or to the whole of society both directly and indirectly, for example, through other values and social mechanisms of influence. In this article, the following typology of values is used in the context of the innovation ecosystem and discussions on public good: internal, economic, social and humanitarian ones. The last three values are often generalized by the term “impact”. Internal values of science and technology express the essence of development that knowledge is built on knowledge, and thereby increase the level and readiness of organizations. We consider links in the value proposition chains produced by these organizations, from planning to legal support management. Current national macro factors that influence them are formulated. The contemporary generation of the innovation ecosystem in the Republic of Kazakhstan is characterized by a lack of a group of elements that determine national internal and external goals, ways to achieve them, as well as monitoring the results of activities and impact. This article aims to formulate and study the linking of management at the level of the principles of the organizational structure and the framework operating model to the values at the level of the introduced typology, which are created in a certain way by science, technology and innovation organizations. In terms of research and practical significance, this allows for a detailed review, identification of areas of inefficiency and gaps with best practice. And then, by formulating and implementing initiatives, this allows to increase their capabilities and effectiveness taking into account the ambiguity and delayed nature of results of scientific, technological and innovative activities, as well as specific external national and international factors that influence organizations. Comparing value chain links to the typology of values, we have identified a specific distribution of their influence of on the types of these values. In terms of academic and theoretical significance, this study also attempts to reveal contradictions between resulting and procedural values in science, technology and innovation organizations by examining the development of value chains and the context of public good.

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.

Lithic Technological Organization in the Changbai Mountains at the Onset of the Last Glacial Maximum: A Case Study of Assemblages from the Lower Layers of the Helong Dadong Site (27-24 Ka)

ABSTRACT Lithic artifacts from the lower layers of the Helong Dadong site (27-24 Ka cal BP) in the Changbai Mountains were examined to elucidate the technological organization of prehistoric hunter-gatherers at the onset of the Last Glacial Maximum (LGM). The results show: (1) there are no LGM remains due to an occupational gap between the upper and lower layers; (2) burins were maintainably designed, and burin detachments may have had multiple purposes; (3) many artifacts show evidence of recycling and/or redesign; (4) artifacts were efficiently used, none were specialized tools for a single task. This study concludes that the lithic technological organization of the Dadong site’s lower layer is associated with highly mobile foragers of the LGM. However, with the development of the LGM, the climate became colder. Foraging patterns had to change, possibly causing the chronological hiatus in habitation.

Sequential [177Lu]Lu-PSMA-617 and docetaxel versus docetaxel in patients with metastatic hormone-sensitive prostate cancer (UpFrontPSMA): a multicentre, open-label, randomised, phase 2 study

Lutetium-177 [177Lu]Lu-prostate-specific membrane antigen (PSMA)-617 improves survival and quality of life in patients with metastatic castration-resistant prostate cancer, but whether it confers a benefit in hormone-sensitive disease is unknown. We aimed to evaluate [177Lu]Lu-PSMA-617 before docetaxel treatment in patients with de-novo high-volume metastatic hormone-sensitive prostate cancer. UpFrontPSMA was an investigator-initiated, multicentre, open-label, randomised, phase 2 trial done at 11 Australian hospitals. Eligible patients had prostate adenocarcinoma without clinically significant neuroendocrine differentiation or small-cell histology, were aged 18 years or older, had less than 4 weeks on androgen deprivation therapy, had an Eastern Cooperative Oncology Group performance status of 0-2, and had high-volume PSMA-avid disease on [68Ga]Ga-PSMA-11 PET-CT with no major discordance on 2-[18F] fluorodeoxyglucose-PET-CT. Patients were randomly assigned (1:1) to the experimental treatment ([177Lu]Lu-PSMA-617 followed 6 weeks later by docetaxel) or standard-of-care treatment (docetaxel alone) using computer-based block randomisation with random block sizes, stratified by disease volume by conventional imaging and duration of androgen deprivation therapy at the time of registration. Neither patients nor investigators were masked to treatment assignment. Patients in the experimental group received two cycles of [177Lu]Lu-PSMA-617 7·5 GBq every 6 weeks intravenously, followed 6 weeks later by six cycles of docetaxel 75 mg/m2 every 3 weeks intravenously, whereas patients in the standard-of-care treatment group received six cycles of docetaxel 75 mg/m2 every 3 weeks intravenously. All patients received continuous androgen deprivation therapy. The primary endpoint was undetectable prostate-specific antigen (≤0·2 ng/mL) at 48 weeks, assessed using a modified intention-to-treat analysis. The trial is registered with ClinicalTrials.gov, NCT04343885. Between May 5, 2020, and April 18, 2023, 130 patients were randomly assigned, 63 (48%) to [177Lu]Lu-PSMA-617 plus docetaxel and 67 (52%) to docetaxel alone. All patients were male and no race or ethnicity data were collected. Median follow-up was 2·5 years (IQR 1·8-3·0). Four patients in the docetaxel alone group withdrew consent after randomisation and no data beyond screening were collected. An additional four patients were not evaluable for the primary endpoint at 48 weeks (two in each group). 25 (41%) of 61 patients (95% CI 30-54) in the [177Lu]Lu-PSMA-617 plus docetaxel group had undetectable PSA at 48 weeks compared with ten (16%) of 61 patients (9-28) in the docetaxel alone group (OR 3·88, 95% CI 1·61-9·38; p=0·0020). The most common grade 3 or 4 treatment-related adverse events were febrile neutropenia (seven [11%] of 63 patients in the [177Lu]Lu-PSMA-617 plus docetaxel group vs six [10%] of 63 patients in the docetaxel alone group) and diarrhoea (four [6%] of 63 patients vs none). Serious adverse events occurred in 16 (25%) patients in the [177Lu]Lu-PSMA-617 plus docetaxel group (none were definitely related to [177Lu]Lu-PSMA-617) and 16 (25%) patients in the docetaxel alone group. No treatment-related deaths occurred. [177Lu]Lu-PSMA-617 followed by docetaxel improved antitumour activity in patients with de-novo high-volume metastatic hormone-sensitive prostate cancer compared with docetaxel alone, without increased toxic effects. Our data potentially support a role for [177Lu]Lu-PSMA-617 in metastatic hormone-sensitive prostate cancer. Prostate Cancer Research Alliance (Movember Foundation and Australian Government Medical Research Future Fund), US Department of Defence Impact Award-Clinical Trials, Endocyte/Advanced Accelerator Applications (a Novartis company), Australian Nuclear Science and Technology Organization, Victorian Cancer Agency, University of Melbourne, and Peter MacCallum Cancer Foundation.

The relationship between organisational agility and informal learning

AbstractIn dealing with rapid and profound technological, occupational and societal changes organisations benefit from paying attention to their organisational agility. Learning as part of organisational agility however is an under researched area of attention. In this integrated literature review we answer the question if organisational agility and learning are related, focussing on informal learning as an important way to learn in the workplace. We analyse ways in which papers on organisational agility integrate concepts as learning in their definition/approach. We conclude that the business literature includes to some extend perspectives on learning within the approach to agility. But the way learning is conceptualised is mostly moderately and instrumental. This means that learning is mostly seen as a way to become agile as an organisation. The integrative review identifies three areas in which understanding of organisational agility and specifically the framework of Wendler can be enriched and deepened with results from research on informal learning. The integration of both concepts results in three overlapping areas: leadership, social networks and knowledge development. These three areas contain mechanisms that influence both informal learning and organisational agility and therefore describe the relationship between these two concepts. Examples of these mechanisms include working closely together, valuing contributions from different professionals in knowledge development, and stimulating entrepreneurship and risk-taking by employees. More research into the nature of these three areas contributes to a more precise integration of learning theory into the development of the concept of organisational agility. It also provides organisations with approaches for dealing with the changes in their environment in effective and developmental ways.

Particle formation: Promise and challenges

Particle formation establishes fundamental particle attributes at the initiation of an overall particle production process. These attributes include particle size distribution, particle morphology, crystal form, and defect level. These fundamental properties, in turn, affect downstream particle processing and product performance properties, including rate of drying, filterability, flowability, caking tendency, rate of dissolution, and for biologically active products bioavailability. Almost always, the goal is that the properties established at formation will provide excellent performance all the way through downstream processing, product formulation, and ultimate use of the product. However, meeting this goal is often not possible for a variety of reasons. First, it may be difficult, prohibitively expensive, or even impossible to achieve the desired properties during formation. Second, there are often conflicting requirements at different stages of production and use. For example, large equant particles may be desired for good filterability and flowability through downstream process steps, but very small particles may be required in the ultimate product application. Examples from the chemical and pharmaceutical industries are presented: both cases successfully producing particles with properties meeting the needs throughout the chain of downstream processing and final application, as well as cases where it was impossible to meet those requirements. For the latter, the additional processing or adaptations required for the product to succeed are outlined. The focus here is on additive particle formation, e.g. crystallization and precipitation from solution, and not subtractive particle formation, e.g. milling. Legacy of Reg DaviesI was fortunate enough, as a budding industrial crystallization engineer, to be invited by Reg to join the newly formed PARticle Science And Technology PARSAT group at DuPont. Reg recognized and documented the importance of particle technology to a large, diverse chemical and materials company like DuPont and PARSAT was to become a leading industrial particle technology group. Reg's vision was to combine the fundamental particle unit operations into a unified, comprehensive technology organization that would address the formation and processing of particles from process concept through end use.This paper describes the first step in many particle processes: particle formation. Reg's legacy vis a vis particle formation is the recognition that particle formation is a critical, foundational process in an overall process train that ultimately produces useful particulate products and intermediates, but that particle formation is nonetheless but one part of the overall process. It may be able to produce particles exactly as needed for end use performance, or additional processes may be needed to tailor particles for their ultimate use. In addition, intermediate processes may be required to preserve useful properties developed during formation but subject to degradation in subsequent operations.Finally, Reg served as inspiration and mentor for everyone in his orbit, and we are far better scientists and engineers for it.

The Role of Leadership in Transforming Retail Technology Infrastructure with DevOps

In the fast changing retail technology market, DevOps principles are transforming how firms manage and improve their technological infrastructure. This study examines how leadership may use DevOps to improve retail technology and operations. As retail embraces digital transformation, technological strategies must fit with business goals. This change requires leaders to guide their firms through complicated infrastructure upgrade and operational efficiency. DevOps, which emphasizes communication between development and operations teams, continuous integration and delivery, and automation, has become essential for technological infrastructure agility and efficiency. DevOps benefits retail companies in a competitive world with quick customer behavior and market fluctuations. These include increased deployment frequency, time-to-market, dependability, and scalability. DevOps demands a fundamental change in corporate culture and leadership, not simply new technologies and procedures. This article discusses how successful leadership can promote collaboration, transformation, and DevOps alignment with strategic corporate objectives to achieve this cultural transition. Leadership helps overcome change resistance, foster cross-functional cooperation, and incorporate DevOps into the organization's technology and business operations. Leaders must also address talent shortages, resource limits, and outdated systems that might hinder DevOps rollout.

Real-Time and Long-Term Challenges of Remote Learning and Innovation: Cases from Police and Technology Organisations

This study investigates the evolving landscape of learning and innovation within organisations that are particularly affected by the increasing digitalisation and prevalence of remote work and trainings. Focusing on the police and technology sectors, in this research 20 individuals were interviewed, identifying both real-time and long-term challenges associated with remote learning and innovation. In the police sector, the real-time challenges included one-way efficiency, encompassing impracticality, unidimensional learning situations, and efficiency-driven multitasking. A long-term challenge was individualistic performance orientation, suggesting a shift in learning responsibility from the organisation to the individual. In the technology sector, the real-time challenges involved incomplete detections during remote innovation, encompassing missing artefacts, unlikely coincidences, and narrow observations. A long-term challenge was the weakening of social bonds, with subthemes such as community distancing and a decline in social skills. The study emphasises the critical need for appropriate remote workplace pedagogy, community reinforcement and well-planned training to address these challenges, emphasising that the values guiding remote work and virtual environments play a crucial role in shaping learning outcomes.

Mobile Government Service Promotion Strategies: Exploring Sustainable Development Pathways Based on Provincial Government Practices in China

The level of mobile government services has become a crucial metric for modernizing a government’s governance capabilities, and it plays a significant role in promoting sustainable development. This study aims to explore the key factors influencing the level of mobile government services across 31 provinces in China, along with their combinatory pathways. Using the technology–organization–environment (TOE) framework and employing fuzzy-set qualitative comparative analysis (fsQCA), this study conducts an in-depth analysis of mobile government service levels across these provinces, focusing on the dimensions of technology, organization, and environment. The results identify three pathways that promote high levels of mobile government services: technology–organization, technology–environment, and internal–external linkage-driven pathways. These pathways offer viable strategies for achieving sustainable development in mobile government services. Additionally, this study identifies two pathways associated with lower service levels, technology deficiency, and organization–environment misalignment, highlighting key factors that hinder sustainable development. The findings suggest that organizational and environmental factors can complement each other based on technological conditions, internet penetration rates, and citizen participation levels. Based on these insights, this study recommends that provincial governments proactively explore sustainable development pathways, optimize the “technology–organization–environment” conditions to harness synergies, and work towards enhancing mobile government service levels, thereby reducing inter-provincial disparities and advancing sustainable development.

IT professionals’ post-pandemic online learning: UTAUT model study

PurposeThis paper aims to examine employees’ online learning continuation intentions (OLCI), exploring factors such as performance expectancy (PE), effort expectancy (EE), social influence (SI), perceived benefits (PB) and management support (MS) influencing their commitment to online learning engagement.Design/methodology/approachThe Unified Theory of Acceptance and Use of Technology (UTAUT) model was expanded to include PB and MS constructs. This study used a quantitative research approach using purposive sampling techniques. Three hundred and eighty-six responses from Indian information technology (IT) professionals at various levels were analysed using Statistical Package for the Social Sciences-Analysis of Moments Structures tool.FindingsThis study found a strong positive influence of PE, EE, PB and MS on OLCI in the context of post-pandemic. Workplace learning rapidly generates outcomes if employees associate it with their career growth. However, the authors found that SI does not significantly affect OLCI.Originality/valueThis research is unique work in the area of workplace learning by evaluating the OLCI of IT professionals using the extended UTAUT model in a new normal. Moreover, this study contributes to online learning literature with a combined study of technology usage, continuance intention and organization learning and development.

The new normal: The status quo of AI adoption in SMEs

ABSTRACT The recent surge in the adoption of artificial intelligence (AI) by small and medium-sized enterprises (SMEs) has garnered significant research attention. However, the existing literature reveals a fragmented landscape that hinders our understanding of how SMEs use AI. We address this through a systematic literature review wherein we analyze 106 peer-reviewed articles on AI adoption in SMEs and categorize states and trends into eight clusters: (1) compatibility, (2) infrastructure, (3) knowledge, (4) resources, (5) culture, (6) competition, (7) regulation, and (8) ecosystem: according to the technology–organization–environment model. Our research provides valuable insights and identifies significant gaps in existing literature, notably overlooking trends identification as a pivotal driver and neglecting legal requirements. Our study clarifies AI implementation within SMEs, offering a holistic and theoretically grounded perspective to empower researchers and practitioners to facilitate more effective adoption and application of AI within the SME sector.

Blockchain technology adoption and its impact on SME performance: insights for entrepreneurs and policymakers

PurposeThis study aims to empirically examine and analyze the factors that influence the adoption of blockchain technology, particularly within small and medium-sized enterprises (SMEs). The study also predicts how adopting blockchain technology may affect SMEs’ market and financial performance.Design/methodology/approachThe research is grounded in the theoretical frameworks of the “technology–organization–environment (TOE) framework” and the “resource-based view (RBV)” perspective. The researchers collected 407 responses from a survey conducted on SMEs in India. The statistical package for social science, followed by the “partial least square structural equation modeling (PLS-SEM)” technique, was applied for the data analysis.FindingsThis paper offered a robust research framework for blockchain technology adoption in which one of the two proposed technological factors (relative advantage), one organizational factor (top management support) and two environmental factors (competitive pressure and market dynamics) significantly influence blockchain technology adoption. Similarly, there is a substantial association between blockchain technology adoption and both market and financial performance. More specifically, the complexity and perceived investment cost have been recognized as barriers to SMEs adopting blockchain technology.Research limitations/implicationsThe primary focus of this research lies in examining the adoption of blockchain technology among SMEs in India. Consequently, there exists an opportunity to broaden the scope of this study to include various other countries. Such an expansion holds the potential to yield more precise and comprehensive results, enabling a comparative analysis across diverse international contexts.Practical implicationsThe outcomes have practical significance for SMEs as they navigate their strategies for adopting blockchain technology. Moreover, policymakers and practitioners can use these findings to enact specific measures targeting barriers, fostering the adoption of blockchain in Indian SMEs and creating a more supportive environment for technological integration and growth.Originality/valueThis study introduces a novel theoretical framework focusing on the impact of blockchain adoption on SMEs. Its distinctive contribution lies in investigating the mediating role of blockchain adoption in the relationship between market and financial performance, specifically within emerging economies. By addressing this gap, the study enhances the understanding of how blockchain adoption shapes SME performance in evolving economic landscapes.