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The objective of this study is to investigate the impact of the COVID-19 pandemic on the consumer payment behavior in Italy by correlating financial literacy with digital payment awareness, examining media anxiety and financial security, and including a gender analysis.

Consumers’ attitudes toward cashless payments were investigated using an online survey conducted from November 2021 to February 2022 on a sample of 836 Italian citizens by considering the behavioral characteristics and aspects of financial literacy. Structural equation modeling (SEM) was used to test the hypotheses and to determine whether the model was invariant by gender.

The analysis showed that the fear of contracting COVID-19 and the level of financial literacy had a direct influence on the payment behavior of Italians, which was completely different in its weighting. Fear due to the spread of news regarding the pandemic in the media indirectly influenced consumers’ noncash attitude. The preliminary results of the gender multigroup analysis showed that cashless payment was the same in the male and female subpopulations.

This research is noteworthy because of its interconnected examination. It examined the effects of the COVID-19 pandemic on people’s payment choices, assessed their knowledge, and considered the influence of media-induced anxiety. By combining these factors, the study offered an analysis from a gender perspective, providing understanding of how financial behaviors were shaped during the pandemic.

The purpose of this paper is to investigate if online reviews (e.g. valence and volume), online promotional strategies (e.g. free delivery and discounts) and sentiments from user reviews can help predict product sales.

The authors designed a big data architecture and deployed Node.js agents for scraping the Amazon.com pages using asynchronous input/output calls. The completed web crawling and scraping data sets were then preprocessed for sentimental and neural network analysis. The neural network was employed to examine which variables in the study are important predictors of product sales.

This study found that although online reviews, online promotional strategies and online sentiments can all predict product sales, some variables are more important predictors than others. The authors found that the interplay effects of these variables become more important variables than the individual variables themselves. For example, online volume interactions with sentiments and discounts are more important than the individual predictors of discounts, sentiments or online volume.

This study designed big data architecture, in combination with sentimental and neural network analysis that can facilitate future business research for predicting product sales in an online environment. This study also employed a predictive analytic approach (e.g. neural network) to examine the variables, and this approach is useful for future data analysis in a big data environment where prediction can have more practical implications than significance testing. This study also examined the interplay between online reviews, sentiments and promotional strategies, which up to now have mostly been examined individually in previous studies.

The purpose of this paper is to examine the influence of social media adoption on the performance of construction small and medium-sized enterprises (SMEs).

Construction SMEs owners and managers in Nigeria were surveyed using questionnaires to gather data. Partial least square structural equation modeling (PLS-SEM) was employed to assess measurement reliability and validity, as well as the hypothesized paths provided in the conceptual model that formed part of the final conclusions.

The empirical finding showed that social media usage increased knowledge accessibility, reduced costs and improved customer relations and service for organizations. Overall, social media adoption was significantly and positively related to SMEs business performance. Also, the paper revealed that learning capability mediates the relationship between social media and SMEs performance.

Data for the study came from only one industry and one related line of business; thus, including more companies from different sectors or industries could be more interesting. The study's findings contributed to the growing body of knowledge about the impact of social media on the efficiency of businesses. Small and medium-sized businesses also need to understand and recognize the impact of social media on the organization's performance in order to achieve a long-term competitive edge from the adoption of social media.

According to the findings, small construction firms can benefit from marketing the brands through social media channels and improved learning capability. In terms of accessibility, cost savings and improved relationships with customers, research shows that social media promotion can be beneficial to businesses. A study like this has the potential to show how social media can help striving small businesses interact cost-effectively with customers all over the world, opening new doors for sales and continuous improvement.

The relationship between SME performance in Nigeria and the use of social media has received very little attention despite social media's promising potentials, particularly for small businesses. The authors hoped that this study will fill a gap in the authors' understanding of how social media affects the performance of small and medium-sized businesses (SMEs) in the construction industry.

The purpose of the study is to explore the relationship between leader bottom-line mentality (BLM) and employee social cyberloafing behavior. Based on social exchange theory, the authors propose that leader BLM will promote employee social cyberloafing behavior via psychological contract breach, especially when employee needs for relatedness is high.

To test the hypotheses, the authors conducted a multi-wave, multi-source field study with 185 paired employee–leader dyads at three time points. The hypotheses were tested by Mplus with a bootstrap approach to obtain confidence intervals.

The results show that leader BLM has a positive impact on employee social cyberloafing behavior, which is mediated by psychological contract breach. In addition, employee needs for relatedness moderates this process. Specifically, when employees pertain high needs for relatedness, the influence of leader BLM will be stronger.

This research paper highlights the detrimental influence of leader BLM and provide directions for preventing employee cyberloafing behavior.

Previous studies have drawn inconsistent conclusions on the effectiveness of leader BLM, such as enhancing task performance and eliciting social undermining. This study further explores the underlying mechanism linking leader BLM to employee social cyberloafing behavior and the boundary conditions. This has subsequently provided practitioners with new perspectives regarding why employees engage in counter-productive social cyberloafing.

The adequate culture of knowledge sharing in organizations is considered a key factor for improving the employees’ performance. Along with knowledge sharing, total quality management (TQM) practices are the ways to achieve business excellence. The purpose of this paper is to explore the mediating effect of knowledge sharing on the relationship between TQM practices and employees’ performance.

The quantitative study has been carried out in software houses of Pakistan. Data were collected from 340 employees using survey questionnaires from software houses of Pakistan and is analyzed through structural equation modeling technique using SPSS 22.0 and SmartPLS 2.0.

The results reveal that knowledge sharing partially mediates between TQM practices and employee performance. Furthermore, the results indicate that the TQM practices should be implemented holistically rather than individually.

The generalization of the results is limited as the sample size is relatively small and represents software houses of only four regions in Pakistan. Moreover, the study findings were only based on software houses. So, these should be applied to other sectors with caution.

This study complements the previous researches and seeks to extend literature that how the core elements of knowledge sharing mediate between TQM practices and employees’ performance especially, in developing countries like Pakistan.

This paper positions environmental concern as the antecedent of attitude, subjective norm and perceived behavioural control. It also sets to expand the theory of planned behaviour by including two condition factors: favourable situation and facility availability on the intention to separate food waste at source.

The study collects data by using self-administered questionnaires on 682 respondents in Malaysia. Structural equation modelling is employed to test the conceptual model and the proposed hypotheses.

The results show that environmental concern positively influences attitude and subjective norms, which, in turn, influences food waste separation intention. Favourable situation and facility availability are found to influence the separation intention.

This study is one of the earliest studies to investigate residents’ intention to participate in food waste separation at a source that employs the expanded theory of planned behaviour with environmental concern and condition factors.

This study aims to highlight the moderating role of perceived organizational, supervisory and coworker’s support in weakening the negative relationship between fear of pandemic (FOP) and employee’s engagement in the Asian organizations. Furthermore, this study also aims to explore the role of employees’ engagement as an intervening mechanism, which mediates the relationship between FOP and employee’s performance in an Asian postpandemic context.

Based on extensive review of recent literature and sound theoretical reasoning, the authors have developed a comprehensive conceptual framework (with related theoretical propositions) which provides clear guidelines as to how Asian Business Managers/organizations can minimize the adverse effect of the employee’s fear triggered by the pandemic at the workplace and how provision of effective and timely organizational/interpersonal support (i.e. organizational, managerial and coworkers level support) can help Asian Managers address various workplace challenges created by the pandemic moving forward. This study has further validated the proposed conceptual framework and related theoretical propositions by conducting an in-depth bibliometric analysis and by developing clusters of the co-occurrences based on most recent/ relevant literature published in the area.

This study advances the knowledge in the areas of FOP and organizational support in particular. A comprehensive review of the literature clearly indicates how effective organizational, supervisory and peer support mechanism can help Asian Business Managers in alleviating the negative impact of the FOP on various employee level outcomes such as employees “engagement and performance” and how it can help Asian firms in addressing the associated challenges while working in a postpandemic context. Later on, an in-depth bibliometric analysis of the literature has revealed emerging knowledge patterns in the field and has indicated several key gaps in the existing literature which further confirms the theoretical framework and the propositions related thereto.

Though several researchers have previously examined the fear created by COVID-19 at workplace, relatively fewer researchers have tried to link it up with employees’ level of involvement/ engagement at workplace. Even fewer researchers have tried to examine the vital role that organizational, managerial and peers support can play in minimizing the adverse effects created by pandemic-induced fears for employees’ productivity and performance in an Asian workplace context. Furthermore, hardly any efforts have been made to look at this popular notion of employees’ engagement as an intervening mechanism which carries a significant potential to mediate the relationship between FOP and employees’ job performance. This study aims to bridge all these gaps by integrating the two main streams of knowledge together, i.e. Four Horsemen of Fear and Organizational Support theory. Based on strong theoretical reasoning, an in-depth review and a bibliometric analysis of the relevant literature, the authors have developed a comprehensive conceptual framework which explains how various levels of support may interact with FOP to predict different levels of employees’ engagement in a contemporary Asian workplace and how this in turn may impact employees’ job performance while at work.

The purpose of this paper is to develop a prototype of Online Food Delivery Application that addresses the actual needs of the user and to study the factors affecting the acceptance of Food Friend Application (FFA).

This is an applied research study using design thinking to study the real needs of consumers when ordering food online during the COVID-19 outbreak. The real needs of customers were used to create FFA. Then, the key predictors of FFA adoption were studied by integrating psychological variables, including Alertness to distinction, Openness to novelty, Orientation in the present; and Technological variables Design, Information Quality and Mobility, with comprehensive data analysis. Initially, Structural Equation Modeling was used to study the statistical relationships toward FFA acceptance, while a neural network model was used to validate the first step analysis.

Analysis results from both methods confirmed that Alertness to distinction, Orientation in the present, Mobility and Openness to novelty affected FFA at statistically significant levels. Surprisingly, technological variables in terms of Design and Information Quality had no statistical relationship toward FFA.

In addition to dealing with digital disrupts, the current business world also needs to deal with the pandemic and the rapidly changing consumer behavior. COVID-19 is a clear catalyst for digital business trends, for example, food delivery that has to deal with dramatic changes in consumer behavior. The strong methodological results of this research are greatly beneficial to academics, food online delivery service providers, application developers and government agencies.

The purpose of this paper is to investigate how various gratifications obtained in the social media context affect customer participation, and its sequential effect on brand trust, brand commitment and word of mouth (WOM) in social media brand communities.

The data were collected from 352 respondents who used social media using a survey method. The data were assessed using AMOS with structural equation modeling.

The findings depicted that among all gratifications obtained in the social media context, information seeking, incentive and brand likeability strongly affect customer participation, which sequentially affect brand trust, commitment and WOM in social media brand communities. In the context of social media brand communities, brand trust partially mediates the relationship between customer participation and its two outcome variables (brand commitment and WOM).

The present paper contributes that theory of uses and gratifications has particular significance and supposed to be provided further importance in the field of social media. It also presents a vivid and rich understanding of why customers use social media and participate in social media brand communities.

Though Blockchain has been studied in numerous contexts, the understanding of the impacts of Blockchain in achieving competitive advantages remains unexplored. Many industries, organizations and firms are still in a “wait and see” mode. This study aims at examining the effects of the technological, organizational and environmental factors drawn from the TOE framework in generating competitive advantage.

A dual-staged deep learning structural equation modeling artificial neural network analysis was conducted on 211 samples of small and medium enterprises. Four neural network models were engaged to rank the normalized importance of each of the predictor variables.

The research model can expound 57.99 and 47.33% of the variance in Blockchain adoption and competitive advantage correspondingly. The study successfully identified nonlinear relationships. The theoretical and managerial contributions are useful to scholars and practitioners such as industrial players, investors, chief executive officers (CEOs), managers, decision-makers and other stakeholders that intend to use Blockchain technology.

Unlike the existing technological–organizational–environmental (TOE) framework that uses a linear model and theoretically assumes that all relationships are linear, this has been the first study, which has successfully validated that there exist nonlinear relationships in the TOE framework. Further, very little has been theorized on the impacts of Blockchain adoption on competitive advantage, especially in the context of SMEs. Therefore, this study is the first one to provide the necessary theoretical foundation that may further extend the current knowledge of Blockchain technology adoption and its impacts.