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The purpose of this paper is to identify the four principles for firms in developing countries to enhance and augment their innovation agenda for staying competitive. With increasing globalization, firms need to continually calibrate and realign their innovation strategies to remain competitive. Although many firms in the developed countries are making sustained efforts to adopt the developing world perspective on innovation, similar efforts by firms in developing countries to reorient their innovation strategies to the developed world are minimal. In the long run, this might erode the competitiveness of firms in developing countries. Leveraging the global innovation strategy framework, the paper suggests four principles that can help developing country firms transition from a local to a global innovation strategy. Specifically, the paper exhorts developing country firms to move from a “good-enough” innovation approach to an “augmented” innovation philosophy that aims to serve the latent needs of the users. The four principles suggested for the developing country firms to further their innovation agenda are: invest in research; learn to fail; be patient; and alliance and acquire.

The paper uses prior literature and frameworks to identify the four principles that firms in developing countries should follow for furthering their innovation agenda with a view to becoming global in their approach.

The four principles suggested for the developing country firms to further their innovation agenda are: invest in research; learn to fail; be patient; and alliance and acquire.

The paper identifies the four principles for firms in developing countries to enhance and augment their innovation agenda for staying competitive.

The purpose of this viewpoint is to provide a framework for future research on e‐government impact.

Using a concise review of major e‐government studies, we present a value framework for assessing the impact of e‐government. Specifically, we integrate the two stakeholder perspectives on e‐government namely the “government” and the “citizen” and identify areas where e‐government can provide returns.

The model delineates three government and five citizen areas where e‐government may create an impact. The three government areas are policy making, program administration, and compliance. The five citizen areas are financial, political, social, ideological, and stewardship. The impact in these areas is created because of two major value‐generating mechanisms: enhancements in efficiency and enhancements in effectiveness. Further, the impact is created at different levels of analyses: local, state, and central governments.

This viewpoint provides a timely discussion on returns from e‐government and provides a value framework for assessing these returns. It also provides several suggestions for future research in this area. This viewpoint is a call for systematic future research on the impact of e‐government.

Contemporary offshore information system development (ISD) outsourcing is becoming even more complex. Outsourcing partner has begun “re-outsourcing” components of their projects to other outsourcing companies to minimize cost and gain efficiencies. This paper aims to explore intra-organizational information asymmetry of re-outsourced offshore ISD outsourcing projects.

An online survey was conducted to get an overall view of information asymmetry between principal and agents (as per the agency theory).

Statistical analysis showed that there are significant differences between the principal and agent on clarity of requirements, common domain knowledge and communication effectiveness constructs, implying an unbalanced relationship between the parties. Moreover, the authors' results showed that these three are significant measurement constructs of information asymmetry.

In this study the authors have only considered three main factors as common domain knowledge, clarity of requirements and communication effectiveness as three measurement constructs of information asymmetry. Therefore, researches are encouraged to test the proposed constructs further to increase its precision.

The authors' analysis indicates significant differences in all three measurement constructs, implying the difficulties to ensure that the agent is performing according to the requirements of the principal. Using the agency theory as theoretical view, this study sheds light on the best contract governing methods which minimize information asymmetry between the multiple partners within ISD outsourcing organizations.

Currently, to the best of the authors' knowledge, no study has undertaken research on intra-organizational information asymmetry in re-outsourced offshore ISD outsourcing projects.

The article provides a conceptual replication and enrichment of the status quo bias theory in the specific context of understanding IT department user resistance and user adoption. The findings can assist technology renewals and associated change management professionals to assess and plan the adoption and active usage of human resource systems.

The authors used survey method to gather data. All items were based on prior literature. They administrated the survey to employees of GOODTECH (name changed), information systems (IS) department members, situated in France. They obtained 103 valid responses along with usage data from the system to run their path model, in order to validate the proposed research model.

The study offers an enriched user resistance model (URM) to understand why IT-savvy employees would resist or adopt new human resource tools. Apart from providing partial validity to status quo bias theory in the French context, the enriched model uses behavioral intention to use as an intermediate variable to explain the influence of two key constructs of the original theory: switching cost and switching benefits. This research provides a better explanatory power to understand the cause of user resistance and new IT use.

The sample size used in the study can be considered as a limitation, although power analysis reveals that the results are significant and valid. The context of the study is also limited to one country and to a specific type of IS implementation scenario. Since the purpose of the paper was to offer contextual theory enhancement, the findings are valid for this purpose.

Digital project managers are offered a framework to increase technology adoption of new human resource tools and evaluate how to reduce user resistance at times of technology renewals. Self-efficacy for change and colleagues’ opinion can indirectly impact behavioral intention to use via switching cost and switching benefit perceptions and thus reducing resistance perceptions as well as increasing adoption of new IT tools in post-implementation phases.

The paper enriches the well-established user resistance theory in IS domain in a context of human resource post-implementation phase by studying IT-savvy end user's perceptions. The paper demonstrates the need to integrate user adoption and user resistance variables in one parsimonious framework and extends support to emerging research on dual focus perspective.

This research paper examines the complex interplay of trust, corruption, and governance during the COVID-19 pandemic, analysing how these sociopolitical factors influence public health outcomes. Utilising the Generalised Additive Model (GAM) for Corruption Risk and Trust, the study provides a fresh perspective on the pandemic’s multifaceted impact, extending beyond traditional biomedical approaches. Through an in-depth analysis of global data, the paper unveils the intricate links between public confidence in government and the perceived integrity of political systems, highlighting how these elements affect the pandemic’s fatality rates. It also sheds light on the role of misinformation and politicisation in moulding public perceptions and responses to the crisis. This work offers a crucial viewpoint for understanding the ongoing challenges posed by COVID-19, emphasising the critical need for transparent and reliable governance in managing public health emergencies. The findings underscore the significant influence of governance quality, societal trust, and corruption on health crises. Contributing to the broader discussion on the interaction between political, social, and health factors during emergencies, this study has important implications for policymakers, health professionals, and the international community.

Tacit and explicit knowledge sharing play crucial roles in today’s rapidly changing business environment, particularly in fostering innovation. However, uncovering tacit knowledge sharing remains complex. The purpose of this study is to analyze the mediating roles of tacit and explicit knowledge in the relationship between a knowledge-sharing culture and organizational creativity.

In this study, the authors developed an extended analytical process to analyze the impact of explicit and tacit knowledge on a knowledge-sharing culture and organizational creativity. This process combines two analytical techniques: necessary condition analysis (NCA) and partial least squares structural equation modeling (PLS-SEM). NCA identifies essential bottlenecks for a specific outcome, while PLS-SEM uncovers strong connections between predictor and outcome variables. The authors applied these analyses to a sample of 155 IT experts from a leading telecom company in the Turkish ICT industry to test the relevant hypotheses.

The findings of this study indicate that tacit knowledge, rather than explicit knowledge, partially mediates the relationship between a knowledge-sharing culture and organizational creativity. This mediating role of tacit knowledge is particularly pronounced in the ICT sector. Additionally, the impact of organizational capabilities on organizational creativity is amplified by higher levels of tacit knowledge sharing.

The effect of organizational capabilities on organizational creativity was found to increase because of tacit knowledge sharing compared to explicit knowledge sharing, depending on the knowledge-sharing climate.

The purpose of this paper is to investigate the factors that affect the adoption of cloud computing by firms belonging to the high‐tech industry. The eight factors examined in this study are relative advantage, complexity, compatibility, top management support, firm size, technology readiness, competitive pressure, and trading partner pressure.

A questionnaire‐based survey was used to collect data from 111 firms belonging to the high‐tech industry in Taiwan. Relevant hypotheses were derived and tested by logistic regression analysis.

The findings revealed that relative advantage, top management support, firm size, competitive pressure, and trading partner pressure characteristics have a significant effect on the adoption of cloud computing.

The research was conducted in the high‐tech industry, which may limit the generalisability of the findings.

The findings offer cloud computing service providers with a better understanding of what affects cloud computing adoption characteristics, with relevant insight on current promotions.

The research contributes to the application of new technology cloud computing adoption in the high‐tech industry through the use of a wide range of variables. The findings also help firms consider their information technologies investments when implementing cloud computing.

While the phenomenon of technostress has received significant attention from researchers in recent years, empirical findings concerning the consequences of specific forms of techno-stressors have remained scattered and contradictory. The authors aim to integrate the conclusions of previous studies to understand the effects of specific techno-stressors on strain and job performance.

This study employs meta-analytic techniques to calibrate the findings of 67 studies investigating more than 63,100 employees.

In general, not all techno-stressors have adverse effects. In particular, techno-uncertainty does not impact job performance. In addition, relative weight analyses reveal the relative importance of techno-complexity and techno-insecurity as predictors of both strain and job performance. Finally, this study finds that the effects of specific techno-stressors on job performance vary depending on research participants' gender, educational attainment and employment status.

First, this study provides a more nuanced view of the effects of specific techno-stressors. Second, this research clarifies the relative importance of specific techno-stressors as predictors of strain and job performance. Finally, this study reveals the moderating effects of demographic variables on the relationships between specific techno-stressors and job performance.

This paper reviews the literature on digital transformation in SMEs. The general purpose of the paper is to provide an overview of the evolution of digital transformation research in SMEs globally and propose possible future research directions to advance digital transformation research in SMEs.

This study used a systematic review of the literature by conducting bibliometric analysis and content analysis. The research protocol included 51 articles collected in the Scopus database in the bibliometric analysis. The Scopus database was searched using Publish or Perish, while Excel and Mendeley assistance were used for quantitative investigation of the sample and bibliographic management. A bibliometric analysis was conducted by combining two software applications, Biblioshiny R Studio and VOSviewer.

Digital transformation (DT) research on SMEs has increased significantly especially after 2015. Using bibliometric analysis and science mapping, seven main research themes were found, namely digital technologies, dynamic capability, digitalization, small and medium enterprises, big data, manufacturing sector and innovation. Seven future DT research trends were also found, namely digital technology adoption, dynamic capability, adaptive leadership, digital literacy, sustainable innovation, managerial readiness and external support.

Compared to existing reviews, we adopt a broader approach and one that does not focus on specific aspects of DT, but adopts an integrated and holistic approach that provides a comprehensive overview of the DT literature in SMEs. In addition to quantitative analysis through bibliometrics, this study also integrated content analysis to determine future research opportunities and directions.

This paper is based on imported bibliographic data from Scopus. The findings of bibliometric analysis may be affected by the use of certain databases. Therefore, the results depend on the selected databases which may lead to different results. Although the literature review procedure was applied, it is possible that there were missed articles related to the topic discussed. The use of different indicators and depiction methods will also lead to different results. Therefore, future researchers should optimize these aspects.