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Work-from-home (WFH) gained ground with COVID and will now continue to be a part of India’s future of work. Under WFH information and communication technologies (ICT) media become the primary/sole mode of communication for employees, which holds several implications for employers and employees. Therefore, this study aims to investigate the impact of ICT media characteristics and usage frequency on multiple WFH outcomes. Specifically studied was ICT media’s ability to support synchronicity or coordinated behaviours of individuals working together.

This work examined the effect of ICT media’s synchronicity-supporting ability and usage frequency on WFH employees’ need for competence and relatedness satisfaction, thereby wellbeing and preference to WFH. Data from 301 white-collar employees of varied manufacturing and services organizations of India was analysed via partial least squares structural equation modelling.

Achieving more synchronicity by frequently using ICT media that can better facilitate coordinated behaviours did not directly influence WFH employees’ feeling of belongingness (need for relatedness) or wellbeing. It did, however, positively affect their feeling of effectance (need for competence) and thereby wellbeing. However, unexpectedly, it negatively influenced preference to WFH more often.

This study has uniquely combined media synchronicity and self-determination theories to investigate the implications of a work practice on employee wellbeing and preferences. Also, an extensible media evaluation parameter was created that encompasses the characteristics and usage frequency of a set of ICT media.

The research paper aims to study dissatisfaction of teleworking employees in Spain during the Covid-19 health pandemic in order to propose three models: sociodemographic profile of the teleworking dissatisfied employee; advantages and disadvantages for the teleworking dissatisfied employee and advantages for the teleworking dissatisfied employee.

This study uses official open data obtained from the Spanish National Statistical Institute (INE, 2022) through Decision Trees statistical multivariable models implementing Classification and Regression Trees and Recursive Partitioning and Regression Trees techniques to determine the variables that can influence the satisfaction or dissatisfaction of the subjects.

This investigation offers three models with two sociodemographic profiles of dissatisfied teleworking employee, who is a high/middle-level manager/employee around 45 years old, and she/he lives with the partner. Regarding the most important advantage of teleworking, employees consider “use/saving of time” and as disadvantage “worse organization and coordination of work”.

This research provides empirical evidence with inductive reasoning on understanding the challenges of teleworking dissatisfied employees in Spain not only in turbulent times but also in “normalcy” to improve overall teleworker well-being and accomplish company’s and organization’s long-term objectives for better productivity and effectivity. The study has high practical value due to the integral approach incorporating dissatisfaction as a driver that can trigger negative behaviours towards the organizations and that is seldom addressed in the literature. Additionally, this paper could provide some new ideas for accomplishing “Spain Digital 2025” and “Europe’s Digital Decade: 2030” plans on institutional level.

This study aims to examine the relationship between telecommuting and cyberloafing among Ghanaian workers. In addition, the study investigated the moderating role of emotional exhaustion on telecommuting and cyberloafing.

The study collected quantitative data from 945 employees in banks, telecommunication and insurance sectors of the Ghanaian economy. Data was entered using SPSS v.23 and analysed with Process Macro v3.5.

The results indicate that there is a significant positive relationship between telecommuting and cyberloafing. It also found out that emotional exhaustion has a significant negative relationship with cyberloafing. Furthermore, emotional exhaustion moderated the relationship between telecommuting and cyberloafing. Organisations are not necessarily required to be in a particular location to achieve their goals. Through practices such as telecommuting, organisations are able to unleash the creative and innovative abilities of employees and also improve their psychological well-being for greater gains.

The practice of telecommuting psychologically empowers the individual giving some decision-making latitudes to one and making one responsible and accountable for their actions and inactions. Also, individuals who are giving the chance to telecommute will only engage in cyberloafing behaviours when they are emotionally exhausted. Thus, it is important to create conditions that establishes equilibrium and creates harmony between the individual and the work, hence eliminating any feeling of emotional exhaustion and reaping the full benefits of telecommuting.

To the best of the authors’ knowledge, this study is the first to examine the role of emotional exhaustion in the relationship between telecommuting workers and their engagement in cyberloafing.

A key finding in the extant literature on adopting information systems has been the importance of management support and a champion. Further research has indicated that business managers need to have appropriate IT knowledge and skills to lead adoption adequately. In the context of small and medium enterprises (SMEs), this role is usually assumed by the owner/manager. This research aims to synthesise these two tenets by identifying and understanding the type of business intelligence and analytics (BI&A) leadership skills that owners/managers need to develop during the adoption of BI&A.

Five BI&A knowledge areas are identified and connected to different types of BI&A leadership skills through qualitative in-depth case studies of fourteen Australian SMEs.

The case studies reveal that several BI&A leadership skills need to be developed to bring SMEs to higher stages of BI&A adoption.

This study proposes a BI&A leadership skills development framework that allows practitioners to develop progressive BI&A skills concerning managing data, analytical skills, business processes, social and cultural change, and investment decisions to achieve sustainable operational, management and strategic goals.

The paper takes a unique approach that links five knowledge areas to BI&A leadership skills that owners/managers need to ensure for effective adoption and orchestration of BI&A in their organisations. The BI&A leadership framework includes a developmental approach that relates to the iterative and complex nature of BI&A adoption.

The study aims to investigate the impact of workplace ostracism (WO) and fear of the COVID-19 pandemic on the family life of restaurant employees. This research is based on the conservation of resources (COR) theory and work–family interface model to understand the theoretical underpinnings of mistreatment in the food sector during the COVID-19 pandemic.

The study utilized a survey with a structured questionnaire to collect time-lagged data from 238 restaurant employees in the central region of Punjab province in Pakistan. The collected data were analyzed using the SPSS tool with modern-day techniques like bootstrapping, process macro and SmartPLS.

The study reveals that perceived stress levels of the employees increase due to ostracism, leading to work–family conflict. Furthermore, the study found that employees who fear COVID-19 are less stressed by ostracism.

The study's significant contribution lies in demonstrating that the impact of ostracism in the workplace is quite different from what was expected. The results have shown that ostracism can reduce the perceived stress levels of employees, leading to a decrease in work–family conflict, especially in the presence of fear of COVID-19.

This paper aims to develop a selective energy optimisation of the photovoltaic–thermal (PV/T) system performance. The PV cell inside the PV/T system could be periodically manipulated to produce domestic hot water without applying an external power supply.

A numerical simulation model of the proposed PV/T model was developed in MATLAB/Simulink to analyse the selective energy optimisation of the model. The extrinsic cell resistance (R_se) is adjusted to control the ratio of thermal to the electrical energy, generated from the PV cell inside the PV/T system. Therefore, the internal heat of the PV cell inside the PV/T system is periodically used as a thermal element to produce electrical power and hot water.

The optimisation of PV/T energy shows that the electrical power efficiency can increase by 11.6% when R_se was 0 Ω, and the 200 L water tank temperature increased by 22ºC when R_se was 50 Ω.

This study showed that the use of the PV cell could be extended to domestic hot water and space heating, and not only for electricity.

This paper aims to examine the communicative value of assurance reports by investigating whether the impact on information asymmetries is contingent on the length of the contractual relationship between clients and assurance providers, which can compromise the provider’s independence.

Using a firm-level data set of publicly listed international firms from 2007 to 2016, the authors estimate several regression models for panel data by using the generalized method of moments estimator to address the endogeneity issue.

Results find that the greater the communicative value in assurance statements, the lower the information asymmetries. However, this effect is constrained when the assurance provider’s independence is compromised due to an excessively long-term contractual relationship. In other words, assurance statements with more informative value enhance the firm’s transparency and increase users’ confidence in the sustainability information provided. However, the loss of independence linked to longer tenure jeopardizes the communicative value of the assurance report and contributes to reducing information asymmetries.

The study makes at least three clear contributions to current literature. First, the authors contribute to the limited existing research about the communicative value attributed to assurance statements by stakeholders. Second, the authors indirectly contribute to the literature that analyses whether stakeholders understand the assurance report, a complex statement in a growing market. Addressing the communicative value of assurance is certainly a difficult task, as it is a novel and complex activity. Third, the main contribution is providing initial empirical evidence about the moderating effect that assurance provider tenure has in the relationship between the informational content of the assurance report and the level of information asymmetries. To date, there is no empirical evidence regarding the moderating effect of long assuror’s tenure as an important feature of the assurance market, and beyond that, regarding its impact on the communicative value assigned by stakeholders to assurance statements.

Big data analytics capabilities are the driving force and deemed as an operational excellence approach to improving the green supply chain performance in the post COVID-19 situation. Motivated by the COVID-19 epidemic and the problems it poses to the supply chain's long-term viability, this study used dynamic capabilities theory as a foundation to assess the imperative role of big data analytics capabilities (management, talent and technological) toward green supply chain performance.

This study was quantitative and cross-sectional. Data were collected from 374 executives through a survey questionnaire method by applying an appropriate random sampling technique. The authors employed PLS-SEM to analyze the data.

The findings revealed that big data analytics capabilities play a significant role in boosting up sustainable supply chain performance. It was found that big data analytics capabilities significantly contributed to supply chain risk management and innovative green product development that ultimately enhanced innovation and learning performance. Moreover, innovation and green learning performance has a significant and positive relationship with sustainable supply chain performance. In the post COVID-19 situation, organizations can enhance their sustainable supply chain performance by giving extra attention to big data analytics capabilities and supply chain risk and innovativeness.

The paper specifically emphasizes on the factors that result in the sustainability in supply chain integrated with the big data analytics. Additionally, it offers the boundary condition for gaining the sustainable supply chain management.

To understand the specificities of Cash-flow bullwhip in the context of major crises similar to that of COVID-19, to identify its financial impacts on the Moroccan FMCG companies, to establish the profile of the companies most affected by this CFB and finally to propose internal control mechanisms that should be put in place to mitigate the effects of Cash flow Bullwhip in such a context.

The authors chose to conduct descriptive research on companies operating in the fast-moving consumer goods sector in Morocco. For this purpose, a survey was conducted on a target population during the period from December 2020 to March 2021. To answer the different research questions, a multiple correspondence analysis (MCA) has been conducted on the 21 variables obtained from the survey questions.

Small and medium-sized companies are those that have been the most financially impacted. Indeed, the instability of the cash flow conversion cycle increased their working capital requirements and limited their self-financing capacity. To face this situation, those companies used alternative means to finance their operational activity by using their equities or bank loans.

Due to the originality of the COVID 19 context, this study gives a different angle of view to analyze the cash flow bullwhip and its implications on the financial health of companies.

Taking the perfect perspective of customers' satisfaction, this paper aims to investigate the elements affecting customer satisfaction in business-to-consumer (B2C) online retailing stores, which are divided into five non-monetary dimensions: trust, order fulfillment, website construction, excitement and interaction.

Due to distinguishing the suitability of the data, the authors used exploratory factor analysis (EFA). Next, the authors utilized confirmatory factor analysis (CFA) to check their validity. Then, the authors applied Cronbach's alpha to check the reliability of the elements. After that, the authors combined these five elements with structural equation modeling (SEM) to make a model. The authors also performed Friedman tests to prioritize the elements.

The results indicate that each element is undeniably significant and has an extraordinary impact on customers' satisfaction evaluation. Therefore, system providers and electronic retailers need to consider them on their websites to achieve marketing goals in the competitive online environments.

Electronic commerce has resulted in an essential change in B2C marketing, especially in the electronic retailing industry. Online suppliers need to satisfy their customers to receive competitive advantages and increase their income. The purpose of this study is to research the elements affecting customers' satisfaction in B2C online retailing stores.