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Culture is considered a critical aspect of social media usage. The purpose of this paper is to explore how cultures and languages influence multilingual users' cross-cultural information sharing patterns.

This study used a crowdsourcing survey with Amazon Mechanical Turk to collect qualitative and quantitative data from 355 multilingual users who utilize two or more languages daily. A mixed-method approach combined statistical, and cluster analysis with thematic analysis was employed to analyze information sharing patterns among multilingual users in the Chinese cultural context.

It was found that most multilingual users surveyed preferred to share in their first and second language mainly because that is what others around them speak or use. Multilingual users have more diverse sharing characteristics and are more actively engaged in social media. The results also provide insights into what incentives make multilingual users engage in social media to share information related to Chinese culture with the MOA model. Finally, the ten motivation factors include learning, entertainment, empathy, personal gain, social engagement, altruism, self-expression, information, trust and sharing culture. One opportunity factor is identified, which is convenience. Three ability factors are recognized consist of self-efficacy, habit and personality.

The findings are conducive to promoting the active participation of multilingual users in online communities, increasing global resource sharing and information flow and promoting the consumption of digital cultural content.

Online platforms are providing diversified and personalized services with user information. Users should decide if they should give up parts of information for convenience, with their information being at the risk of being illegally collected, leaked, spread and misused. This study aims to explore the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust, and the authors extend previous research with two moderators.

Based on 48 independent empirical studies, this paper conducted a meta-analysis to synthesize existing results from collected individual studies. This meta-analysis explored the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust.

The meta-analysis results based on 48 independent studies revealed that perceived benefit, trust, subjective norm and perceived behavioral control have significant positive effects, while perceived privacy risk and privacy concern have significant negative effects. Moreover, cultural background and platform type moderate the relationship between antecedents and online information disclosure intention.

This paper explored the moderating effects of an individual factor and a platform factor on users' online information disclosure intention. The moderating effect of cultural differences is examined with Hofstede's dimensions, and the moderating role of the purpose of online information disclosure is examined with platform type. This study extends online information disclosure literature with a multi-perspective meta-analysis and provides guidelines for practitioners.

The purpose of this study is to examine the key research question, which is whether fintech innovation for financial inclusion has been successful in India? As fintech has been popular in many countries, there is very little understanding on how successful it has performed in India for financial inclusion. This research attempts to ravel important factors that may or may not have a direct or indirect impact on fintech innovation for financial inclusion, thereby dissecting the empirical data to reveal important information for the reader.

This study covers a comprehensive literature review, from which key variables are discovered, then develops hypotheses to be examined, followed by proposing a research model. The survey data examines important research instruments for fintech inclusion in India, identifying and measuring factors, leading to partial least squares (PLS) model testing. Finally, the key findings are reported.

The findings reveal that fintech innovation from variables such as users experience and motivation for digital payments drives usefulness and ease of use leading to financial inclusion. The security, trust, transparency and customer support when built into the fintech innovation for digital payments influences perceived ease of use (PEOU) and usefulness that mediates to uplift financial inclusion directly. Whereas perceived usefulness (PU) anchoring happens to be a precursor for the financial inclusion. On the contrary, cultural values for fintech innovation through PEOU and usefulness had no impact whatsoever on financial inclusion, thus demystifying cultural influences as non-influential factor.

Research limitations are that the study was conducted in India, and may not be generalised in other countries; however, it can be modified to fit future research. Survey data captured was from a particular region of South India, which may differ from the rest of the country. The sample size and research period were adequate; however, larger data sets would be more meaningful for longitudinal studies. As India is the second most populous country in the world, a comparison with other similar countries of the same size and geographical location will be useful for future research.

This research reveals that financial inclusion is much more complex than previously known and that the penetration of fintech has the capacity to go deeper and include a large number of people into the mainstream financial system and ameliorate the inequities in urban-rural gender and caste. The user’s experience, culture and motivations positively influenced the usefulness and ease of use for driving the financial inclusion of digital payments. Further security, trust, transparency and customer support can facilitate the use of central bank digital currency (CBDC) as a tool for financial inclusion.

Fintech innovation for financial inclusion is based on the successful acceptance of the digital payment system by people in the society. This research has identified that for any fintech innovation, it is essential that society needs to benefit from it. Encouraging a larger population to switch to digital payments offer challenges and opportunities. While the opportunities are enormous research suggests that early adopters of new technology go through different phases of testing, in which a society can completely accept an innovation or can completely reject an innovation if the two mediating factors such as PU and ease of use do not perform as predicted, thus having a higher failure rate. On the other side, if such an innovation as fintech becomes successful it has the capacity to bring billions of people into mainstream financial inclusion, a success story that can greatly benefit the Indian society and which can be replicated among other countries in the world.

To the best of the authors’ knowledge, this study is the first attempt in an effort to understand the influential factors from the point of view of users for the adoption of CBDC for financial inclusion. The main contribution of this paper is to examine the role of CBDC as an instrument to foster financial inclusion in India, which has not been attempted so far. The originality also lies to the heart of the research is dissecting and making meaningful sense of the empirical data, developing and measuring research instruments and hypotheses and finally adopting a PLS model to answer the key research question, which is whether fintech innovation for financial inclusion can be successful for India?

In socio-technical transition theory, resistance by existing technology and regime resistance plays a key role. The resistance is in the form of intentional improvements; eventually, the regime destabilizes and adopts the new technology, referred to as the sailing-ship effect. Researchers used a structural view and examined it as a strategic action and its relationship with new technology (competitive/symbiotic) in non-fast-changing sailing systems. This study uses a microlevel view and examines it in a fast-changing where products/services are developed by integrating existing technology with new product innovations; their success depends on addressing technical/market uncertainty. This study examines the sailing-ship effect in a fast-changing system and contributes to the socio-technical transition theory.

The authors need to examine the phenomena of the sailing-ship effect in its setting, and a case-study method is appropriate. The selected case provided diverse analytic and heuristic perspectives to examine the phenomena; therefore, it was a single case study.

In an IT scenario, the strategic actions decide and realize agility and competitive advantage by formulating appropriate goals with required budgets and coevolutionary changes to resources at product, process and organizational levels, addressing technical/market uncertainty. Moreover, the agility displayed by strategic actions determines the relationship with new technology, which is interspersed. Finally, it provided insights into struggle, navigation and negotiations, forming strategic actions to display the sailing-ship effect.

The study selected a Banking Financial Services and Insurance product of an IT Services company. As start-ups exhibit inherent (emergent) agility, the authors can examine agility as a combination of emergent and strategic actions by selecting a start-up.

The study highlights the strategic actions specific to an IT services company. It developed its product and services by steering clear from IT innovations such as native cloud and continuous deployment. It improved its products/services with necessary organizational changes and achieved the desired agility and competitive advantage. Therefore, organizations devise appropriate strategic actions to combat the sailing-ship effect apart from setting goals and selecting IT innovations.

The study expands the socio-technical transition theory by selecting a fast-changing system. It provided insights into the relationship between existing and new technology and the strategic actions necessary to manage technical and market uncertainty and achieve the desired competitive advantage, or the sailing-ship effect.

Digital platforms (DP) are transforming service delivery and affecting associated actors. The position of DPs is impacted by the regulations. However, emerging economies often lack the regulatory environment to support DPs. This paper aims to explore the regulatory developments for DPs using the multi-level perspective (MLP).

The paper explores regulatory developments of ride-hailing platforms (RHPs) in India and their impacts. This study uses qualitative interview data from platform representatives, bureaucrats, drivers, experts and policy documents.

Regulatory developments in the ride-hailing space cannot be explained as a linear progression. The static institutional assumptions, especially without considering the multi-actors and multi-levels in policy formulation, do not serve associated actors adequately in different times and spaces. The RHPs regulations must consider the perspective of new RHPs and the support available to them. Non-consideration of short- and long-term perspectives of RHPs may have unequal outcomes for established and new RHPs.

This research has implications for the digital economy regulatory ecosystem, DPs and implications for policymakers. Though the data from legal documents and qualitative interviews is adequate, transactional data from the RHPs and interviews with judiciary actors would have been insightful.

The study provides insights into critical aspects of regulatory evolution, governance and regulatory impact on the DPs’ ecosystem. The right balance of regulations according to the business models of DPs allows DPs to have space for growth and development of the platform ecosystem.

This research shows the interactions in the digital space and how regulations can impact various actors. A balanced policy can guide the paths of DPs to have equal opportunities.

DP regulations have a complex structure. The paper studies regulatory developments of DPs and the impacts of governance and controls on associated players and platform ecosystems.

The purpose of this study is to identify and prioritize the critical success factors (CSFs) of knowledge management (KM) implementation through a novel hybrid model, namely, Fuzzy Delphi method (FDM), interpretive structural modeling (ISM) and revised Simos, which is one of group decision-making (GDM) approaches.

The CSFs of KM implementation were identified through a systematic literature review. FDM was adopted to determine the CSFs in the Iranian oil industry. Then, a novel hybrid model consisting of ISM and revised Simos techniques were used to classify and prioritize the CSFs.

The obtained results suggest that there are 13 CSFs of KM implementation. The result of ISM shows that the CSFs of KM implementation were classified into five levels. The result of revised Simos reveals that the “human resources management” obtained the highest priority and “leadership commitment and support” and “intellectual capital” ranked second and third, respectively.

As this research was performed in the Iranian oil industry, caution should be taken regarding the generalizability of the obtained results.

The top managers of the surveyed companies could get acquainted with CSFs of KM implementation in their organization and use a GDM technique that has various advantages to solve the relevant problems.

This paper provides a twofold contribution to expand KM and GDM literature and to the best knowledge of the authors, it is a novel hybrid GDM model of its kind.

In recent years, the proliferation of social commerce (s-commerce) has attracted many researchers to investigate the drivers of individuals' intentions. However, the empirical results reported in these studies were fragmented and inconsistent. This has led various meta-analyses to synthesize these findings, but without including a large number of s-commerce studies. In addition, investigating meta-analytically the effects of moderators such as the six dimensions of Hofstede's national culture is still lacking.

Drawing on nine theories and models, this meta-analysis aims to summarize the findings reported in 109 s-commerce studies published between 2011 and 2021 and to examine the moderating role of national culture. The correlation coefficient (r) has been used as the main effect size for this study. Based on the random-effects method, the CMA V3 software has been employed to calculate the weighted mean effect sizes.

The meta-analysis results showed that all the 11 hypothesized direct relationships are positive and significant. The moderator results also revealed that five out of six cultural dimensions significantly moderate the examined associations.

This research serves to enrich the existing s-commerce literature by addressing contradictory and mixed results reported in the empirical studies. This study is one of the first of its kind to investigate the role of Hofstede's six cultural dimensions as moderators in the field of s-commerce using the meta-analytic techniques.

Smart-home security involves multilayered security challenges related to smart-home devices, networks, mobile applications, cloud servers and users. However, very few studies focus on smart-home users. This paper aims to fill this gap by investigating the potential interests of adult smart-home users in cybersecurity awareness training and nonfinancial rewards that may encourage them to adopt sound cybersecurity practices.

A total of 423 smart-home users between the ages of 25 and 64 completed a survey questionnaire for this study, with 224 participants from Japan and 199 from the UK.

Cultural factors considerably influence adult smart-home users’ attitudes toward cybersecurity. Specifically, cultural differences impact their willingness to participate in cybersecurity awareness training, their views on the importance of cybersecurity training for children and senior citizens and their preference for nonfinancial rewards as an incentive for good cybersecurity behavior. These results highlight the need to consider cultural differences and their potential impact when developing and implementing cybersecurity programs that target smart-home users.

This research has two main implications. First, it provides insights for information security professionals on the importance of designing cost-effective and time-efficient cybersecurity awareness training programs for smart-home users. Second, the findings may assist governments in establishing nonfinancial incentives to encourage greater uptake of cybersecurity practices among smart-home users.

The paper investigates whether adult smart-home users are willing to spend time and money to engage in cybersecurity awareness training and to encourage their children and elderly parents to participate in training, as well. In addition, the paper examines incentives, especially nonfinancial rewards, that may motivate adult smart-home users to adopt cybersecurity behaviors at home. Furthermore, the paper analyses demographic differences among smart-home users in Japan and the UK.

This paper aims to identify aspects of how work-life interaction has changed in the post-pandemic situations and propose strategies of the security concept for living-working patterns in the post-pandemic interior as future disease prevention.

We conducted a systematic literature search and review to select previous research systematically and relate concepts by coding the data and synthesising the data critically. The systematic literature search and review considered 90 papers (35 were studied).

The findings identify three strategies: hybrid activity patterns, new layout for hybrid and changing behaviour and culture. Each strategy demonstrates the connection between the hybrid living-working interior spaces in the post-pandemic period and security-pandemic variables. The results on security design factors focused on interior control, detection and deterrence; connection to nature creates a safer environment to prevent further variables; and hybrid activity requires more elements to govern users' behaviour and culture.

Limitations of this study are as follows: excluded papers that are not written in English/Bahasa or do not have gold/green open access; some aspects were not discussed (such as social distancing); the articles included in this review are up to April 2023 (and there is the possibility of recent papers). Future studies can be developed to update building certification for post-pandemic interiors or research with psychological, social equity or family vitality issues.

The study offers strategies and the holistic relationship between the post-pandemic concept and security-pandemic design variables within the built environment, especially in the users' culture and behaviour context.

This study aims to investigate the effects of organizational culture factors on the selection of software process development models and develops a conceptual model for selecting and adopting process development models with an organizational culture approach, using 12 criteria and their sub-criteria defined in Fey and Denison’s model (12 criteria).

The research hypotheses were investigated using statistical analysis, and then the criteria and sub-criteria were selected based on Fey and Denison’s model and the experts’ viewpoints. Afterward, the organizational culture of the selected company was measured using the data from 2016 and 2017, based on Fey and Denison’s questionnaire. Due to the correlation between the criteria, using the decision-making trial and evaluation technique, the correlation between sub-criteria were determined, and by analytical network process method and using Super-Decision software, the process development model was preferred to the 12 common models in information systems development.

Results indicated a significant and positive effect of organizational culture factors (except the core values factor) on the selection of development models. Also, by changing the value of organizational culture, the selected process development model changed either. Sensitivity analysis performed on the sub-criteria implied that by changing and improving some sub-criteria, the organization will be ready and willing to use the agile or risk-based models such as spiral and win-win models. Concerning units where the mentioned indicators were at moderate and low limits, models such as waterfall, V-shaped and incremental worked more appropriately.

While many studies were performed in comparing development models and investigating their strengths and weaknesses, and the impact of organizational culture on the success of information technology projects, literature indicated that the impact of organizational sub-culture prevailing in the selection of development process models has not been investigated. In this study, new factors and indicators were addressed affecting the selection of development models with a focus on organizational culture. Correlation among the factors and indicators was also investigated and, finally, a conceptual model was proposed for proper adoption of the models and methodologies of system development.