Social media users’ online subjective well-being and fatigue: A network heterogeneity perspective

Scholars have drawn increasing attention to the implications of the dark side of social media for users’ online subjective well-being (OSWB). We develop a research framework based on the limited-capacity model to examine the relationship between OSWB and social media fatigue. Moreover, we explore the associations between specific aspects related to network heterogeneity and social media fatigue for social media users in the United States of America (USA). Further, we examine the mediating effect of network heterogeneity on the association between OSWB and social media fatigue. We utilised a cross-sectional research design to collect data from Prolific Academic (N = 320) and analysed the data through structural equation modelling. The results indicate that OSWB is positively correlated with the network heterogeneity aspect of self-disclosure and negatively correlated with social comparison. OSWB, moreover, is negatively correlated with fatigue, while privacy concerns and self-disclosure are positively correlated with fatigue. Further, of the network heterogeneity aspects we considered, only social comparison is a partial mediator for the relationship between OSWB and social media fatigue. The findings provide insights into the pathways through which social media users’ OSWB and network heterogeneity can induce social media fatigue, raising critical implications for theory and practice

Investigating visibility affordance, knowledge transfer and employee agility performance. A study of enterprise social media

The research analyzes the associations between enterprise social media (ESM) visibility affordance (i.e., message transparency and network translucence) and employee agility performance through knowledge transfer (knowledge acquisition and knowledge provision) in organizations that have applied ESM. Utilizing the communication visibility theory, this study further examines the moderating role of task interdependence in strengthening the interactions between knowledge transfer and employee agility performance. We conducted two studies, one in China (347 samples) and the other in the United States (335 samples) to cross-culturally test our research model. Our results indicate that message transparency and network translucence have significant positive associations with employee agility performance in both studies. The findings also show that knowledge provision mediates the relationships between ESM visibility affordance and employee agility performance in both samples, while knowledge acquisition mediates the association between ESM visibility affordance and employee agility performance in the Chinese sample but not in the U.S. sample. Further, task interdependence moderates the link between knowledge acquisition and employee agility performance in China and the United States. However, task interdependence moderates the relationship between knowledge provision and employee agility performance in China but not in the United States. The implications for theory and management are also discussed

Theorizing the relationship between the digital economy and firm productivity: The idiosyncrasies of firm-specific contexts

With the rise of emerging economies such as China, the research environment for the digital economy (DE) has changed significantly. However, our understanding of the productivity impact of DE development in Chinese firms remains in its infancy. The idiosyncrasies of the firm-specific contexts are closely related to further research on the this topic. As a baseline, we hypothesize a U-shaped DE-firm productivity (FP) relationship. We analyze the idiosyncratic influences of firm size and locality on the DE–FP relationship. The findings, which are based on a sample of Chinese firms from 2016 to 2019, show that (a) the U-shaped DE–FP relationship applies to Chinese firms; (b) this relationship is moderate for large firms, substantially steeper for medium firms, and inverted for small firms; (c) the U-shaped DE–FP relationship for eastern region firms is moderate, while the U-shaped relationship for central region firms is steep, but the transition is incomplete, and western region firms have experienced increasing productivity since the early stage of DE development. This study offers an alternative approach to understanding Chinese firms' strategic choices in DE development and provides a more nuanced explanation for the productivity paradox by emphasizing the significance of the firm-specific context. In this way, the study captures the sophisticated and constantly evolving relationships between DE and FP for heterogeneous Chinese firms

The effect of the valence of forgiveness to service recovery strategies and service outcomes in food delivery apps

The literature offers valuable insights into various aspects of service recovery and service outcomes. However, the available findings are limited relative to the size of the ever-expanding service economy. In particular, past studies have left more granular nuances of the association between service recovery strategies and service outcomes, such as the mediating role of forgiveness or the valence of forgiveness, under-explored. Recognising that an improved understanding of recovery from failures is crucial for sustaining positive customer–brand relationships in the service economy, the present study investigates the mediating effect of the valence of forgiveness (both exoneration and resentment) on the association between various service recovery strategies (apology, compensation and voice) and service outcomes (brand trust and negative word of mouth [NWOM]) in the context of food delivery apps (FDAs). We tested the proposed model by analysing data from 294 FDA users who had experienced FDA service failures and recovery efforts in the recent past. The findings suggest that recovery strategies are associated with exoneration, resentment and brand trust but not with NWOM. While exoneration mediates the association of these strategies with both brand trust and NWOM, resentment mediates only the association of these strategies with NWOM. Finally, the severity of previously experienced service failures and the speed of the service provider’s response moderates the association of the valence of forgiveness with brand trust and NWOM. By uncovering the key role of the valence of forgiveness in service recovery, our study offers significant theoretical and practical implications for stakeholders

Balancing food waste and sustainability goals in online food delivery: Towards a comprehensive conceptual framework

Increasing food waste is a major threat to sustainability and food security. Recognizing the issue, the United Nations Sustainable Development Goal (SDG) 12 mandates reducing global food waste by 50 percent by 2030. This situation has also given impetus to academic research on consumer food waste in both household and out-of-home settings. However, food delivery apps (FDAs) remain under-researched from this perspective. This is a serious gap because operating under a business model that inherently facilitates food over-ordering, FDAs can be a major source of food waste. Understanding the demand-side factors that drive consumers to order more food than required to satiate their hunger can be useful in mitigating such wasteful indulgences. Noting this, we extend the seminal theory of planned behavior (TPB) to propose direct and intervening mechanisms that can better explicate why consumers indulge in a ‘shopping routine’ of ordering more food than required. We analyzed data from 487 FDA users to test the proposed hypotheses. Our results reveal the positive associations of (a) attitude and subjective norms with usage intentions and (b) trust, intentions, and leftover reuse routine with shopping routine. In addition, both proposed moderators—i.e., willingness to pay for eco-friendly packaging and number of years of FDA usage—do, in fact, moderate the associations of leftover reuse routine with both usage intentions and shopping routine. These findings can help marketers and policymakers devise appropriate strategies to promote pro-environmental green behaviors among FDA users without harming the commercial interests of the sector

Psychological and behavioral outcomes of social media-induced fear of missing out at the workplace

The intense proliferation of social media platforms into every facet of human lives has engaged researchers' attention towards understanding their adverse influences, referred to as the dark side of social media (DoSM) in the evolving literature. A relatively unexplored context in this regard is employees' personal use of social media during work hours and its impact on work-related outcomes. Since using social media during work hours can have implications for work performance and productivity, the lack of research in the area needs to be addressed by scholars sooner rather than later. Specifically, it is important to understand the drivers and outcomes of such behaviour. We have thus conceptualized a theoretical model based on the associations among individual tendencies (exhibitionism and voyeurism), fear of missing out (FoMO), and individual-level psychological (compulsive use of social media) and behavioral (work performance decrement and procrastination) outcomes of social media use during work hours. Grounded in the stressor-strain-outcomes (SSO) framework, the hypothesized associations were tested by a path analysis of 312 responses collected from individuals working in the United States. The results confirmed significant relationships between individual tendencies and FoMO, as well as psychological and behavioural outcomes. The findings contribute to the evolving literature around DoSM in the workplace and offer useful and practical insights

Different strokes for different folks: Comparative analysis of 3D printing in large, medium and small firms

Industry 4.0 technologies such as 3D printing have radically transformed innovative outcomes for firms in terms of product design and offerings in the recent past. Acknowledging the impact, existing scholarship has delved into different dimensions of this technology and outcomes of its adoption, yet when compared with the scale of industrial activity globally and the varied possibilities associated with the adoption of this relatively new technology, the literature is woefully lean. Discussions and conversations on facilitators and inhibitors of adoption and continued usage are still nascent, particularly when one ponders upon specific insights related to sectors and firm size. The present study seeks to address this paucity by using the lens of firm size. Specifically, the study examines how firm size impacts various positive and negative outcomes of industry 4.0 innovation adoption and usage using 3D printing as an exemplar. Toward this end, we conducted a qualitative study to collect responses from 46 managers, 23 each from large-size and small-size enterprises operating in the United Kingdom. Thematic coding of responses revealed five aggregate dimensions representing facilitators and four aggregate dimensions representing inhibitors. Analysis of the findings revealed differences in outcomes with firm size, indicating that the adoption and optimal use of innovations such as 3D printing were indeed incumbent on firm size in the case of disruptive, technology-driven innovations that are generically presumed to have positive outcomes. Overall, the findings of this study provide new insights into various facilitators and inhibitors of the adoption of 3D printing technology, which can help firms to make better strategic decisions on the effective usage of this technology

The dark side of phubbing in the workplace: Investigating the role of intrinsic motivation and the use of enterprise social media (ESM) in a cross-cultural setting

Despite the increasing phenomena of supervisor phubbing (a counterproductive workplace behaviour of managers), very few studies have explored its outcomes in organisations. This study aims to bridge this gap by investigating the relationships between supervisor phubbing and key employee outcomes. We conducted two studies in cross-cultural settings. In Study 1, which was conducted in Pakistan (a collectivistic culture), we collected 370 useable responses through an online survey from the employees working in the service sector organisations. Study 2, which was conducted in the United States of America (an individualistic culture), utilised the Prolific data collection service to gather 352 responses. Our results from both studies reveal that supervisor phubbing is negatively related to employee job performance and work engagement via intrinsic motivation. Further, enterprise social media (ESM) usage in organisations moderates the relationships between supervisor phubbing and its outcomes such that these relationships are weaker for employees whose ESM usage is higher. Our work offers significant contributions to the literature on technology use at workplace as it discusses a counterproductive workplace behaviour of managers (phubbing) and that behaviour’s association with key employee outcomes in organisations while also considering the moderating role of ESM usage in organisations

Branching ratios of Bc Meson Decaying to Pseudoscalar and Axial-Vector Mesons

We study Cabibbo-Kobayashi-Maskawa (CKM) favored weak decays of Bc mesons in the Isgur-Scora-Grinstein-Wise (ISGW) quark model. We present a detailed analysis of the Bc meson decaying to a pseudoscalar meson (P) and an axial-vector meson (A). We also give the form factors involving transition in the ISGW II framework and consequently, predict the branching ratios of decays.Comment: 19 pages,7 table

Dynamic causal Bayesian optimisation

This paper studies the problem of performing a sequence of optimal interventions in a causal dynamical system where both the target variable of interest and the inputs evolve over time. This problem arises in a variety of domains e.g. system biology and operational research. Dynamic Causal Bayesian Optimization (DCBO) brings together ideas from sequential decision making, causal inference and Gaussian process (GP) emulation. DCBO is useful in scenarios where all causal effects in a graph are changing over time. At every time step DCBO identifies a local optimal intervention by integrating both observational and past interventional data collected from the system. We give theoretical results detailing how one can transfer interventional information across time steps and define a dynamic causal GP model which can be used to quantify uncertainty and find optimal interventions in practice. We demonstrate how DCBO identifies optimal interventions faster than competing approaches in multiple settings and applications