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The purpose of this study is to extend the existing literature on knowledge management, which generally focuses on knowledge sharing. The model of this article explains how knowledge creation and team performance can be increased through the integration of social and technological factors

To empirically test the model, multi-wave and multi-source data were collected from 80 teams whose members use social media as a tool for communication and interaction.

The analysis results provide insights into some interesting findings. The results show transactive memory system (TMS) as an important factor that can significantly contribute to knowledge creation in teams. Especially, the TMS strengthens the significant positive effect of enterprise social media (ESM) and insignificant positive effect of knowledge complementarity on knowledge creation. Furthermore, knowledge creation is found to be a significant predictor of team performance

Much of the knowledge management literature focuses on the ways to increase the quantity of accessible knowledge to organization members. Such knowledge management studies are more relevant to knowledge exchange among individual employees, teams and organizations. However, this study takes a nuanced approach to explore how knowledge creation can be increased in teams by implementing a knowledge integration mechanism. A general model of knowledge creation is proposed, but the strength of this model lies in the moderating effect of TMS which strengthens the effect of knowledge complementarity and ESM on knowledge creation in teams which eventually increases team performance.

The purpose of this paper is to propose a practical framework for community participation in post-disaster resettlement.

The proposed framework has been tested in two model villages (MVs) of Punjab, Pakistan. Primary data were collected through household surveys, focus group discussions and expert interviews. A survey with 67 households was conducted for obtaining qualitative data regarding community participation in post-disaster resettlement.

The first MV (Ittehad MV) was resettled by the local NGO, and the second (Basti Meera Mullan) by the provincial government. Results indicate that community participation significantly varied in selected MVs. NGOs have achieved positive realizations due to effective community involvement in resettlement efforts, whereas the governmental approach lacked in proactive community participation.

This framework can be used for other disasters, by refining and incorporating disaster relevant components. This research will be highly useful for disaster managers, private developers and NGOs engaged in resettling disaster-affected population.

The proposed framework can help disaster-affected communities to resettle according to their terms. This can only be attained if affected communities will proactively participate in resettlement planning process.

This original framework is exclusively designed to attain sustainability for post-disaster settlement through community participation.

Grounded on the cognition–affect–conation (C–A–C) framework, this study aims to explore how perceived information overload affects the information avoidance intention of social media users through fatigue, frustration and dissatisfaction.

A quantitative research design is adopted. The data collected from 254 respondents in China are analyzed via structural equation modeling (SEM).

Perceived information overload directly affects fatigue, frustration and dissatisfaction among social media users, thereby affecting their information avoidance intention. In addition, frustration significantly affects social media fatigue and dissatisfaction. Consequently, social media fatigue influences dissatisfaction among users.

The literature review indicates that social media overload and fatigue yield negative behavioral outcomes, including discontinuance. However, rather than completely abstaining or escaping, social media users adopt moderate strategies, including information avoidance, to cope with overload and fatigue owing to their high dependence on social media. Unfortunately, merely few studies are available on the information avoidance behavior of social media users. Focusing on this line of research, the current study develops a model to investigate the antecedents of information avoidance in social media.

The present study aims to identify and evaluate the socioeconomic barriers to effective COVID-19 pandemic transmission control in Pakistan.

The study identifies multiple socio-economic barriers through an extensive literature review. The preliminary analysis unveiled 15 socio-economic barriers. Nine experts were contacted to collect data and finalize the most prominent barriers to COVID-19 transmission control using the DELPHI method. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was used to process and interpret the data collected and a cause–effect relationship was established among the barriers.

The finalized barriers to effective COVID-19 pandemic transmission control were evaluated using DEMATEL which grouped criteria into two grouped criteria – cause and effect. The DEMATEL analysis shows that poor safety culture, lack of strategy and goal setting, lack of resources, late realization and recognition of the pandemic problem and lack of expertise and capacity in disaster and risk management fall into the cause group. These factors are critical as they directly affect the remaining barriers identified in the study.

Despite the collective global efforts, the national economies have been struggling to completely control COVID-19 transmission control. Pakistan’s economy has been facing the third wave of the pandemic. It is mandatory to identify the barriers and evaluate them to develop a comprehensive strategy ensuring that there would be no fourth wave. The study identifies and evaluates the barriers to COVID-19 transmission control in Pakistan using the integrated DELPHI-DEMATEL framework. The findings would help the government, experts and strategists to develop a comprehensive disaster and risk management strategy.

This study aims to examine how star–nonstar exchange (SNE) influences nonstars’ performance using social information processing theory.

A time-lagged survey approach is utilized to collect data from 531 nonstars in China. Structural equation modeling and process macro models are applied to test the moderated mediation model of this study.

Results reveal that SNE has a positive effect on nonstars’ performance through their psychological empowerment, with task complexity moderating the relationship between psychological empowerment and innovative performance. However, no moderating effect was found for routine performance.

Although previous research has delved into how leader–member exchange and team–member exchange influence employee performance. This study uniquely concentrates on how the exchange relationship between star performers and nonstars influences nonstars’ performance – a dimension that has generally been overlooked in existing literature. Findings are important for understanding SNE influence on nonstars’ performance while managing task complexity.

The study has two aims: first, it aimed to investigate the impact of contextual factors (such as information quality, service quality, system quality, trust in applications (app) and COVID-19 health anxiety) on the intention to use the Mobile Payment (MP) app, and subsequently, the actual use of the app. Second, the aim of this study is whether the COVID-19 threat has a moderating influence on the relationship between customers' intent to use MP app and the actual use of MP app.

The data are collected through an online survey from 341 Mobile Banking (MB) app users from Pakistan to empirically analyze the relationship between service quality, system quality, information quality, trust in the app, COVID-19 health anxiety and COVID-19 threat, intentions to use MB-app and actual use of MB-app.

The empirical analysis of the data collected from MB-app users from Pakistan shows that service quality, system quality, information quality, trust in the app and COVID-19 health anxiety positively related to intentions to use MB-app, consequently affect the actual use of MB-app. Furthermore, the results demonstrate that the COVID-19 threat positively moderates the relationship between intentions to use MB-app and actual use of MB-app.

Although, prior research established a positive impact of mobile apps on customer service and consumer satisfaction. Yet, it is not clear which factors influence customers to adopt MB-app. This study contributes to the research on MB-apps based on adaptive structuration theory and examines the technological factors and contextual factors that collectively explain when and how individuals decide to adopt MB-app.

This study examined the link between abusive supervision and subordinates’ turnover intentions via job dissatisfaction. In addition, this study examined the moderating effect of continuance commitment in this process.

The authors collected three-wave time lagged data (N = 190) from the hospitality industry in China.

The analysis showed that abusive supervision predicts subordinates’ turnover intentions both directly and indirectly via job dissatisfaction. Moreover, continuance commitment was considered to be a boundary condition such that the mediated link was weaker when higher levels of continuance commitment were present.

This study explains how and when abusive supervision leads to turnover intentions in the hospitality industry. This study also helps hospitality managers to understand the abusive supervision prevalence and provide interventions that can reduce detrimental effects of abusive supervision in hospitality organizations.

Prior research examining the influence of supervisor abuse in hospitality organizations was scant. To bridge this noteworthy gap, this study examined the influence of abusive supervision in Chinese hospitality organizations. This study also discussed the theoretical and practical implications for the hospitality industry.

Expanding on the research of the antecedents of abusive supervision, this study aims to explore supervisor role overload as a supervisor-level predictor of abusive supervision. Based on transactional stress theory, the authors investigate role overload that is appraised as a challenge or a hindrance stressor by supervisors, leading to pleasant or unpleasant feelings, respectively. The authors propose that, based on their appraisal, these feelings of supervisors act as a mediating mechanism that can facilitate or inhibit their abusive behaviour at work. Additionally, the authors posit emotional intelligence (EI) as a key moderator in helping supervisors manage the negative feelings arising from perceiving role overload as a hindrance and preventing them from demonstrating abusive supervision.

To test the proposed moderated mediation model, the authors collected two-wave data from middle-level supervisors or managers from several organisations located in the Eastern Province of Saudi Arabia (N = 990).

The results largely support the hypothesised relationships and show that depending on supervisor appraisal, role overload can generate pleasant or unpleasant feelings in supervisors and, consequently, impede or facilitate abusive supervision. They also shed light on the moderating effect of EI, in that supervisors scoring high on EI are better equipped to deal with unpleasant feelings arising from role overload and effectively manage their workplace behaviour, that is, to avoid abusive behaviours.

Role overload can have different impacts on employees: on the one hand, there is a potential for growth, which entails drive and enthusiasm; on the other hand, it could feel like an unsurmountable mountain for employees, leading to different forms of anxiety. Because what we feel is what we project onto others, supervisors experiencing unpleasant feelings cannot be the best leader they can be; even worse, they can become a source of negativity by displaying destructive behaviours such as abusive supervision. The corollary of something as minor as an interaction with a leader experiencing unpleasant feelings could have a ripple effect and lead to adverse outcomes for organisations and their employees. This study explores the different perceptions of role overload and the subsequent feelings coming from those perceptions as supervisor-level predictors of abusive supervision. While it is not possible to objectively put a different lens inside the minds of supervisors when they face stressors at work, to feel pleasant or unpleasant, they can be trained to manage their negative feelings and keep their behaviours in check. Particularly, training managers to be more emotionally intelligent can help them not only achieve growth by overcoming challenges at work but also acknowledge and adapt their feelings to keep their behaviours in the workplace positive. In practical terms, this research can provide organisations with the knowledge required to nip the problem of abusive supervision in the bud, as prevention is always better than cure.

This study aims to examine the roles of face consciousness, materialism and emotions play in sustainable luxury brand consumption (SLBC) among Millennials in a Collective society.

Three experimental design studies using scenario-based methodologies along with the survey method were conducted in China to test the proposed research model.

Study 1 shows that face consciousness negatively and significantly affects SLBC, and this effect is mediated by materialism. Study 2 reveals that when Millennials experienced great authentic pride, there is a positive association between face consciousness and SLBC. Furthermore, Study 3 reveals that when Millennials are exposed to a high risk of embarrassment, materialists’ willingness to engage in SLBC increases.

The current research has significant theoretical implications for studying SLBC, especially among young consumers. This study contributes to a better understanding of the relationships among face consciousness, materialism, pride, risk of embarrassment and SLBC in a Collective culture context, where luxury consumption is valued.

Sustainable luxury consumption is a new and under-examined research area. This research extends the SLBC literature in the context of a collective society and provides empirical evidence for sustainable consumption and luxury consumption in general. The research also contributes to the literature by examining the moderating role of self-conscious emotion in the relationship between face consciousness and SLBC.

The aim of this study is to investigate how team-level leader-member exchange (LMX) and the instrumental use of artificial intelligence (AI) by team members influence team psychological empowerment and information systems development (ISD) team performance.

A survey approach was employed to collect time-lagged, multi-source data for testing the proposed model of this study (N = 514 responses from 88 teams). PROCESS macro was used to analyze the data to generate empirical results.

The results suggest that instrumental AI use indirectly influences ISD team performance by enhancing team psychological empowerment. Additionally, it moderates the effects of team-level LMX on team psychological empowerment and ISD team performance. Furthermore, the results demonstrate that the interaction effect of LMX and instrumental AI use on ISD team performance is mediated by team psychological empowerment.

While research on ISD consistently demonstrates that teams, data, and technology collectively contribute to the success of these projects. What is less known, however, is how the exchange relationship between ISD teams and their leader, as well as technological factors, contribute to ISD projects. This study draws on LMX theory to propose how team-level LMX and the instrumental use of AI by team members influence team psychological empowerment and ISD team performance. The study puts forth a mediated moderation model to develop a set of hypotheses. It offers valuable contributions to AI and LMX, along with implications for ISD team management.