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This paper investigates the focal role of close co-worker friendship in reducing incivility. Furthermore, this paper examines negative workplace gossip as a mediator and gender and promotion focus as moderators.

Using a time-lagged approach, 553 full-service restaurant front-line co-workers in Greater Cairo responded. Further, the data were analyzed using SmartPLS v.4.

Promotion focus weakened close co-workers’ friendships, causing them to speak negatively about each other with other co-workers. Multi-group analysis showed that males were more likely to spread negative gossip about their close co-workers and thus were subjected to incivility-related behaviors by their co-workers.

This paper is an early attempt to explore the focal role of promotion focus in the full-service restaurant context. This paper adds to affective events theory (AET) with a limited understanding of explaining and predicting co-worker incivility.

本文擬探討同僚間緊密的友好關係在減少不文明行為方面所扮演的重要角色。此外、本文擬把職場的流言蜚語看作是調解員而對其加以探索; 本文亦把性別和對晉升的關注看作是仲裁人而進行探究。

研究人員使用時間差距法進行研究和探討。數據來自553名於大開羅提供整套服務的餐館內工作的一線員工所給予的回應。研究人員以SmartPLS 結構方程建模軟體第四版 (SmartPLS v.4) 對數據進行分析。

研究人員發現，僱員對晉升的關注削弱了同僚間緊密的友好關係，並驅使他們在其他同事中對同僚作負面的評價。另外，多組分析顯示了男性員工更有可能散播關於其要好同僚的閒言閒語，因此，他們會遭受同僚不文明的待遇。

本研究是早期的嘗試，去探索在提供整套服務餐館的背景下，僱員對晉升的關注所扮演的重要角色。另外，本研究的結果將會添加至情感事件理論 - 該理論就解釋和預測同僚不文明行為所提供的闡釋似有點不足。

Currently, consumers of financial products and services have become more vulnerable to predatory financial institutions, especially in the aftermath of Covid-19 pandemic. Therefore, financial consumers like the persons with disabilities (PWDs) should be equipped with knowledge and skills to help them to evaluate complex financial products on offer in financial markets, especially in developing countries to avoid being victims of fraudulent lending. The purpose of this study is to establish whether customized financial literacy mediates the relationship between financial consumer protection and financial inclusion of PWDs’ owned MSMEs in rural Uganda post Covid-19 pandemic.

SmartPLS 4.0 was used to construct the measurement and structural equation models to test whether customized financial literacy significantly mediates the relationship between financial consumer protection and financial inclusion of PWDs’ owned MSMEs in rural Uganda post Covid-19 pandemic.

The results revealed a partial mediating effect of customized financial literacy in the relationship between financial consumer protection and financial inclusion of PWDs’ owned MSMEs in rural Uganda post Covid-19 pandemic. Conducting customized financial literacy increases financial consumer protection by 12 percentage points to promote financial inclusion of PWDs’ owned MSMEs in rural Uganda post Covid-19 pandemic.

This study focused only on customized financial literacy and financial consumer protection to promote universal financial inclusion of PWDs’ owned MSMEs post Covid-19 pandemic. Future studies may use data collected from other vulnerable groups amongst the unbanked population in developing countries, Uganda inclusive. In addition, this study also collected only quantitative data from the selected population. Further studies can be conducted using key informant interviews and focused group discussion to get the perceptions of the PWDs on being protected from exploitation by unscrupulous financial institutions.

The findings from this study can help policymakers in developing countries like Uganda to revise the existing consumer protection law to include strong clauses on protection of people with special needs like the PWDs. The law must ensure that they are not exploited by financial institutions because of their conditions. The law ought to make sure that the PWDs are educated about their rights in the financial market place and all information on financial products offered by financial institutions should be simplified and interpreted to them before they make consumption decisions.

To the best of the authors’ knowledge, the present study is amongst the first few studies to provide a meticulous and unique discourse on the ever increasing role of financial literacy combined with consumer protection to reduce consumption risks within the financial markets, especially in developing countries in the aftermath of global pandemic shocks. This study uses the social learning theory, theory of reasoned action and theory of planned behaviour to elucidate how customized financial literacy can enhance consumer protection to increase financial inclusion of groups with special needs like the PWDs who have become more susceptible to exploitation by unscrupulous financial institutions in under-developed financial markets, especially in post Covid-19 pandemic.

Supply chain (SC) management is more challenging than ever. Significantly, the pandemic has provoked global and economic destruction that appeared in the manufacturing industry as a “black swan.” Therefore, the purpose of this study was to examine the role of information processing and digital supply chain in supply chain resilience through supply chain risk management.

This study examines SC risk management and resilience from an information processing theory perspective. The authors used data collected from 251 SC professionals in the manufacturing industry, and the authors used a quantitative method to analyze the data. The data was analyzed using partial least squares-structural equation modeling. To confirm the higher-order measurement model, the authors used SmartPLS version 4 software.

This study found that information processing capability (disruptive orientation and visibility in high-order) and digital SC significantly and positively affect SC risk management and resilience. Similarly, SC risk management positively mediates the relationship between information processing capability and digital SC. However, information processing capability was found to have a more substantial effect on SC risk management than the digital SC.

This study has both academic and practical contributions. It contributed to existing information processing theory, and manufacturing firms can improve their performance by proactively responding to SC disruptions by recognizing the pivotal role of study variables in risk management for a resilient SC.

The conceptual model of this study is based on information processing theory, which asserts that synchronizing information processing capabilities and digital SCs allows a firm to deal with unplanned events. SC disruption orientation and visibility are considered risk controllers as they allow the firms to be more proactive. An integrated model of conceptualizing the disruption orientation, visibility (higher-order) and digital SC with information processing theory makes this research novel.

The study explored various dimensions of overconfidence bias (OB) among retail investors in Indian financial markets. Further, these dimensions were validated through formative assessments for OB.

The study applied exploratory factor analysis (EFA) to 764 respondents to explore dimensions of OB. These were validated with formative assessments on 489 respondents by the partial least square path modeling (PLS-PM) approach in SmartPLS 4.0 software.

The major findings of EFA explored four dimensions for OB, i.e. accuracy, perceived control, positive illusions and past investment success. The formative assessments revealed that positive illusions followed by past investment success among retail investors played an instrumental role in orchestrating the OBs that affect investment decisions in financial markets.

The formative index of OB has several practical implications for registered financial and investment advisors, bank advisors, business media companies and portfolio managers, besides individual investors in the domain of behavioral finance.

This research provides a novel approach to provide a formative index of OB with four dimensions. This formative index can acts as an overview for upcoming researchers to investigate the OB of retail individual investors.

1. Overconfidence bias is an important predictor of retail investors' behavior

2. Formative dimensions of the overconfidence bias index.

3. Accuracy, perceived control, positive illusions and past investment success are important dimensions of overconfidence bias.

4. Modern portfolio theory and illusion of control theory support this study.

Overconfidence bias is an important predictor of retail investors' behavior

Formative dimensions of the overconfidence bias index.

Accuracy, perceived control, positive illusions and past investment success are important dimensions of overconfidence bias.

Modern portfolio theory and illusion of control theory support this study.

This study aims to introduce and evaluate a model of host community support for sustainable tourism development (SSTD) based on the influential factors contributing to community support in a biosphere reserve.

Partial least squares structural equation modeling using SmartPLS 3 software is applied to analyze data collected from 473 residents of the Miankaleh Biosphere Reserve, Iran.

The findings reveal that the locals’ community support is affected by their level of environmental awareness, opportunity and attitudes toward SSTD. However, the results do not reveal an influence of environmental knowledge and community attachment on SSTD. The findings enrich the existing literature on community attitude predictors by showing that locals’ SSTD level is not consistently based on common predictors. Such support strongly depends on host communities’ attitudes toward supporting tourism, which is definitely not the same among residents. It is imperative to know whether people’s attitudes arise from a desire to protect the area or for reasons of self-interest.

The findings provide further support for the tenets of the segmentation approach and challenge existing knowledge on host communities’ attitudes about factors influencing residents toward SSTD. The findings have several practical implications regarding community participation for regional and national authorities and destination policymakers.

采用SmartPLS3软件建立偏最小二乘结构方程模型, 对从伊朗米安卡莱生物圈保护区的473名居民获得的数据进行分析。

本研究旨在介绍和评估基于影响促进生物圈保护内社区支持的可持续旅游发展(SSTD)的东道社区支持模型。

结果表明, 本地社区的环境意识水平、机会和对SSTD的态度影响着社区支持。然而, 研究结果并没有揭示环境知识和社区依恋对SSTD的影响。

这一发现丰富了现有的关于社区态度预测因子的文献, 表明当地人的SSTD并不一致基于共同的预测因子。这种支持很大程度上取决于东道社区对支持旅游的态度, 这在居民中肯定是不一样的。有必要了解人们的态度是出于保护该地区的愿望还是出于自身利益的原因。此外, 研究结果为细分方法的原则提供了进一步的支持, 并挑战了关于东道社区对影响居民SSTD态度的现有认知。

Se aplica un modelo de ecuaciones estructurales por mínimos cuadrados parciales con el programa SmartPLS 3 para analizar los datos recogidos de 473 residentes de la reserva de la biosfera de Miankaleh (Irán).

Esta investigación pretende introducir y evaluar un modelo de apoyo de la comunidad anfitriona al desarrollo del turismo sostenible (SSTD) basado en los factores que contribuyen al apoyo de la comunidad en una reserva de la biosfera.

Los resultados revelan que el apoyo de la comunidad local se ve afectado por su nivel de concienciación medioambiental, sus oportunidades y sus actitudes hacia el desarrollo del turismo sostenible. Sin embargo, los resultados no muestran una influencia del conocimiento medioambiental y el apego de la comunidad sobre el desarrollo turístico sostenible.

Los resultados enriquecen la literatura existente sobre predictores de la actitud de la comunidad al mostrar que el nivel de desarrollo turístico sostenible de los autóctonos no se basa únicamente en factores tradicionales. Dicho apoyo depende en gran medida de las actitudes de las comunidades anfitrionas hacia el apoyo al turismo y éste no es el mismo entre los residentes. Es necesario conocer si la actitud de los individuos surge de un deseo de proteger la zona o por razones de interés propio. Además, los resultados corroboran los principios del enfoque de segmentación y retan los conocimientos existentes sobre las actitudes de las comunidades anfitrionas acerca de los factores de los residentes sobre el desarrollo turístico sostenible.

The aim of the study is to explore the links between multiple personal income tax regimes, pay dissatisfaction, employee lateness and absenteeism. Accordingly, this paper examines the relationships between income tax policies, pay dissatisfaction and the work withdrawal behaviours of employees in the public service.

The study adopted a quantitative design, and data were collected through a structured questionnaire from a sample of 252 respondents from the Bayelsa State Civil Service in Nigeria. Data were analysed by applying multivariate regression and structural equation modelling through the use of Stata software version 12 and SmartPLS version 4.

The results demonstrated that there was a positive relationship between personal income tax regimes and pay dissatisfaction; there was a positive relationship between pay dissatisfaction and work withdrawal behaviour of employee tardiness and absenteeism and pay dissatisfaction mediated the relationships between personal income tax regimes and work withdrawal behaviours of public sector employees.

The study appears to be the first to explore the nexus between personal income tax regimes and pay dissatisfaction and withdrawal behaviours of employee tardiness and absenteeism as well as the mediating role of pay dissatisfaction in public service organisations.

This study aims to explore whether and how the two potential antecedents (i.e. relationship quality at the dyadic level and network density at the network level) affect firms’ internet-interactive capability (FIIC), referring to the capability of a specific firm to communicate and interact with the relevant partner firms on the basis of internet-interactive technologies in the internet environment and, at the same time, the following influence of FIIC on collaborative activities (i.e. joint planning and joint problem-solving).

This study designed a questionnaire and collected data on-site from 400 manufacturers. SmartPLS is used to validate the research model.

The results suggest that the dyadic relationship quality and network density of the partner group are both positively connected with a firm’s FIIC. Besides, FIIC is positively related to collaborative activities with its partners.

Given the nature of our data (i.e. cross-sectional), the authors can collect longitudinal or experimental data to retest the hypotheses.

This study gives certain guidance for firms to be aware of the factors that motivate FIIC and use their FIIC to influence their employees’ collaborative activities in their relationships with partners, thereby promoting cooperation performance.

This study attempts to extend the resource-based theory based on the logic of motivation-capability by exploring the potential antecedents of FIIC and makes contributions to the current studies on the antecedents of FIIC, which provides actionable insights for firms to play the role of FIIC in interfirm interactions.

The purpose of this paper is to assess the appropriateness of equal weights estimation (sumscores) and the application of the composite equivalence index (CEI) vis-à-vis differentiated indicator weights produced by partial least squares structural equation modeling (PLS-SEM).

The authors rely on prior literature as well as empirical illustrations and a simulation study to assess the efficacy of equal weights estimation and the CEI.

The results show that the CEI lacks discriminatory power, and its use can lead to major differences in structural model estimates, conceals measurement model issues and almost always leads to inferior out-of-sample predictive accuracy compared to differentiated weights produced by PLS-SEM.

In light of its manifold conceptual and empirical limitations, the authors advise against the use of the CEI. Its adoption and the routine use of equal weights estimation could adversely affect the validity of measurement and structural model results and understate structural model predictive accuracy. Although this study shows that the CEI is an unsuitable metric to decide between equal weights and differentiated weights, it does not propose another means for such a comparison.

The results suggest that researchers and practitioners should prefer differentiated indicator weights such as those produced by PLS-SEM over equal weights.

To the best of the authors’ knowledge, this study is the first to provide a comprehensive assessment of the CEI’s usefulness. The results provide guidance for researchers considering using equal indicator weights instead of PLS-SEM-based weighted indicators.

Green practices are essential for sustainability. However, it is challenging due to the socioeconomic and environmental concerns. Similarly, after the induced SDG-12 and SDG-13 by United Nations, the pressure groups forced manufacturers to consider sustainability. Therefore, this research aims to examine the sustainability through multifaceted green functions in manufacturing is examined.

Data were collected from 293 supply chain professionals of manufacturers from a developing economy. Hypotheses were tested through a quantitative method using partial least squares-structural equation modeling with the help of SmartPLS version 4 to validate the measurement model.

The findings revealed that all six direct hypotheses were supported. However, out of four hypotheses of mediation, one was not supported. Besides, a sequential mediation of green supply chain environmental cooperation and green human resource management was supported. The findings illustrated that green supply chain practices positively influence all used variables.

This research provides practical insight to practitioners to implement green practices in their supply chain networks for social, economic and environmental sustainability and compliance with SDG-12 and SDG-13. The sustainability was validated in a higher-order construct (HOC) (formative), including sequential mediation in the model with the support of resource dependency theory. Therefore, this study adds substantial literature to the existing body of knowledge.

This research provides an interdisciplinary framework by adding knowledge to the Resource Dependency Theory to address Sustainable Development Goals-12 (SDGs) and SDG-13. Likewise, this research provides an extension towards the body of knowledge on the issue, which can be used in future research and critical examinations for cleaner and sustainable production. So far, in Pakistan, no research has looked at the function of these integrated variables in the manufacturing industry with a diligent focus on sustainability as it was validated in a higher-order construct (formative) with one sequential mediation, which makes this research unique.

The discontinuous usage behavior of short video social media presents an ongoing challenge to platform development. The purpose of this study is to investigate the antecedents of intentions to short media discontinuous usage.

This study adopts a Cognition–Affection–Conation (CAC) framework to analyze short video social media discontinuous intention on the basis of cognitive dissonance theory (CDT) and self-efficacy theory. The empirical evaluation of the research model was conducted using SmartPLS 2.0 and was based on questionnaire data obtained from participants in China.

The results show information overload and user addiction have a significant positive association with cognitive dissonance, which is, in turn, found to significantly impact discontinuous usage intention. Self-efficacy moderates the relationships between information overload, user addiction, cognitive dissonance and discontinuous usage.

This study contributes to the understanding of the factors that influence short video discontinuous usage intention and it achieves this by engaging from a CDT perspective and by applying Self-Efficacy Theory. Theoretical implications for future short video platform research, as well as practical suggestions for short video platform operators and users, are also discussed.