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Organic food consumption decreases the risk of becoming obese or overweight. This study intends to see the influence of customer perceived value, COVID-19 fear, food neophobia, effort and natural content on the intention to purchase organic food (IPOF) that leads to the actual purchase of organic food (APOF). Moreover, organic food availability is a moderator between IPOF and APOF.

PLS-SEM is used for hypothesis testing. A purposive sampling technique was followed to gather data from organic food consumers in Lahore, Gujranwala and Islamabad and a total of 479 questionnaires were part of the analysis.

The outcomes show that customer perceived value, effort and natural content is positively related to IPOF. Despite this, COVID-19 fear and food neophobia are negatively associated with IPOF. IPOF and organic food availability are positively related to APOF. Finally, organic food availability significantly moderated between IPOF and APOF.

This study outcome reveals that companies of organic food can recognize customer perceived value, COVID-19 fear, food neophobia, effort, natural content and organic food availability in their decision-making if they determine the actual purchase of organic food. This study offers a valuable policy to companies of organic food to enhance customer’s behavior in purchasing organic food in Pakistan. Besides, practitioners and academicians can benefit from this study finding.

This initial research integrates customer perceived value, COVID-19 fear, food neophobia, effort, natural content, IPOF and organic food availability to determine APOF in the COVID-19 pandemic. Moreover, consumption value theory is followed to develop the framework.

India's agri-food industry is rapidly expanding to keep up with the country's growing population. With the help of the fourth Industrial Revolution (Industry 4.0), modernization is creating a new revolution in the agri-food sector. Its applications in the food supply chain as a supply chain 4.0 (SC 4.0) have made it convenient to deliver products efficiently from farms to consumers. The various technologies such as the internet of things (IoT), artificial intelligence (AI), big data analytics and blockchain, etc., have impacted emerging supply chains. But many challenges are perceived by stakeholders toward the adoption of SC 4.0 technologies in India. The authors identified the challenges of adopting SC 4.0 for the agri-food sector and used the Total Interpretive Structural Modeling (TISM) tool to analyze those challenges. Based on literature research, nine major issues were diagnosed and then simulated using expert opinion. Primary data were also gathered with the help of a questionnaire to identify the status of acceptance level of these technologies. This study highlights the importance of government support, availability of sources of funds, customer orientation toward food safety, the commitment of management toward modernization, aware and well trained and motivated employees are a few of the major factors impacting the adoption of SC 4.0 technologies.

This study aimed to examine the association of Corporate Social Responsibility (CSR) disclosure and the firm valueson customer loyalty as a mediating variable. The samples of this study weresourced from the mining companies listed on the Indonesia Stock Exchange of 2008-2014. The secondary data used was obtained from the annual reports accessed through idx.co.id, and the sales reports based on the mining's sub-sectors accessed through bi.go.id. The variables of CSR disclosure were measured by usingscoresof weighting the item categories of CSR disclosure, namely: special items, core items, and additional items. Meanwhile, customer loyalty was measured by using market share, and the firm values were measured by Tobin's Q. The results proved that customer loyalty was the intervening influence of CSR disclosure and the firm values. This was the first study thatapplied different weighting to the category of disclosure items to calculate the scores of CSR disclosure through a statistical testing. Further research, then,can use the survey or focus group discussion (FGD) to determine the weighting method.

The momentum of globalization has helped the organization to gain new insights into the domain of human resources (HRs). The changing nature of work has affected the coherence of the workplaces. Today, it is essential to preserve and nurture the cognitive and creative abilities of the diverse group of employees so that concrete outcomes and actions can be achieved. Human resource planning (HRP) is one of the processes that facilitate the development of employees and the integration of their individual goals with the business plans. This paper aims to produce useful predictions and unprecedented direction to boost organizational performance amidst cyclical business fluctuations. The innovative HRP programs minimize the dysfunctional aspects of employee handling through proper assessment of their skills and abilities. This inclusive approach initiates a sustainable journey for the firm and heightens its competitive edge.

A descriptive study has been conducted through a structured questionnaire. Primary data were collected from respondents working in the HR department of different manufacturing companies in the state of West Bengal, India. A multistage sampling technique has been used. Data analysis has been conducted through exploratory and confirmatory factor analysis. Through structural equation modeling, the researchers examined a series of dependence relationships simultaneously and represented unobserved concepts.

The current study ratifies the overall model and reflects that the HRP activities, namely, retention plan, professional training and development, job analysis and design, succession planning and redeployment plan vitalizes the performance of the firm. A recruitment plan has a negative and non-significant impact on the functional performance of the organization. Succession planning practices immensely affect the firm’s competitive edge followed by the retention plans. The results also uphold that the efficacious performance of the firm brings in strategic sustainability for it.

HRP activities sufficiently address the HR concerns facilitating the organization to coalesce the needs of the employees and the business. It helps to adopt a long term perspective to foster productivity, innovation and quality. It encourages employees to believe in their competencies to deliver their best. Such practices involve the workforce; coordinate their efforts to contribute meaningfully in this intricate business network. Thus, HRP practices drive to accomplish challenging tasks, focus on creative work-related projects, enhances an employee’s coping skills and morale to establish strategic sustainability for the firm.

The study sheds light on the fact that in this complex and dynamic business system where the authors find multigenerational workforce, it is essential to nurture the subtle aspects of the employees rather than continuous monitoring and controlling them. HRP activities provide such a platform that maximizes employees’ potential and will to fit into a firm’s business strategy and translate a strategic plan into action. Such practices have the capability to intensify the positive aspects and ideas in an organization.

This paper attempts to explore possible contributing factors of females' outperformance and males' underperformance in the higher education in Pakistan from teachers' perspective. The central question of the study is what are the key factors that affect female and male students' educational performance at the university level? Using Artificial Neural Network (ANN) as a framework, we attempted to predict differentials of the perceived “female outperformance” and “male underperformance” in higher education. We carried out the study by employing quantitative research methods.

The data for the study come from 253 teachers from University of the Punjab-largest and oldest University in Pakistan. We used a structured questionnaire for data collection. The analysis was carried out with the help of ANN model. Statistical Package for Social Sciences (SPSS) was used to analyze the data.

The testing results of ANN indicated 85.3% of teachers' perception was correctly predicted on various dimensions of performance differentials across female and male students in higher education.

The study banks on primary data collected from teachers of the University of University of the Punjab, Pakistan. Thus, the study's universe was limited to one university – University of Punjab. It is purely based on a quantitative approach employing ANN.

The findings of this study have several significant implications, i.e. it makes a significant contribution to the existing body of scholarly texts on the issue of gender reverse change in academic performance in higher education.

The findings of this research, derived from primary data in Pakistan context, qualify this research as an original one. We also claim that this study is one of the first studies on gender reverse change in academic performance among graduate students in a public sector university of Pakistan employing ANN.

This paper aims to assess the existing situation of psychological empowerment to employees and explore the relationship between psychological empowerment and competitive advantages in service sector of Nepal.

The study followed descriptive cum exploratory research design. Data collected through structured questionnaire based on Menon’s three-component model and Wright’s four-component model used to measure psychological employment and competitive advantages from employees of banking and hospital sector.

Psychological empowerment of employees in service sector is significantly different between public and private organizations. Even though the factors that are extracted are quite different than of Western practices, psychological empowerment has positive and significant impact on the competitive advantages.

This study is mainly based on service sector of Nepal: Banking and Hospital.

This paper is useful to academicians and practitioners seeking to develop psychological empowerment to achieve competitive advantages in their organizations and help to add values in people management areas particularly in South Asian corporations.

This is perhaps the very first investigation of its kind in the Nepalese context.

Employee voice has emerged as a strong predictor of positive organizational outcomes. Grounding the theoretical model in resource-based theory; this study conceptualizes how high-performance work system (HPWS) can enhance organizational innovation of small and medium enterprises (SMEs) through voice behaviors. Specifically, the purpose of this paper is to empirically test if employee voice mediates the relationship between HPWS and organizational innovation.

This study used a quantitative strategy and cross-sectional survey method for the collection of data from SMEs operating in Pakistan. A list of SMEs was obtained from the federal government organization responsible for the development of SMEs in Pakistan. A self-administered structured questionnaire was distributed and 239 randomly selected SMEs responded to the survey.

Findings confirmed the conceptualized model and revealed that HPWS was significantly and positively related to employee voice and organizational innovation. Employee voice was found as a significant predictor of organizational innovation and mediating factor in the relationship between HPWS and organizational innovation.

This study is limited in terms of variables included in the conceptual model and relatively small size of the sample that was derived from a single federal organization. More variables and SMEs can be included in future studies to get broader results and, potentially, better findings.

SME managers/owners can design HR function in such a way that employees will be encouraged to raise their voice and participate more in the organization. Scholars should study voice behaviors distinct from citizenship behaviors.

This study is the first of its kind to conceptualize the relationship between HPWS, employee voice, and organizational innovation in SMEs of Pakistan.

The purpose of this paper is to examine the magneto hydrodynamic flow and heat transfer of nanofluids over a permeable wedge based on engine oil which is under the effects of thermal radiation and convective heating.

The equations governing the flow are transformed into differential equations by applying similarity transformations. Keller box method is used to bring out the numerical solution.

The discovery interprets that temperature as well as the velocity of Ag-engine oil nanofluids are more noticeable than Cu-engine oil nanofluids. Thermal boundary layer increases for radiation parameter as well as Biot number. Fluctuations of co-efficient of drag skin friction as well heat transfer rate at the wall are also tested.

Till now, no numerical studies are reported on the heat transfer enhancement of the permeable wedge under thermal radiation on engine oil nanofluid flow by considering convective heating.

The firms’ adoption and improvement of big data analytics capabilities to improve economic and environmental performance have recently increased. This makes it important to discover the underlying mechanism influencing the association between big data analytics (BDA) and economic and environmental performance, which is missing in the existing literature. The present study discovers the indirect effect of green innovation (GI) and the moderating role of corporate green image (CgI) on the impact of BDA capabilities, including big data management capability (MC) and big data talent capability (TC), on economic and environmental performance.

A time-lagged design was employed to collect data from 417 manufacturing firms, and study hypotheses were evaluated using Mplus.

The empirical outcomes indicate that both BDA capabilities of firms significantly influence green innovation (GI), which significantly mediates the relationship between BDA and economic and environmental performance. Our findings also revealed that CgI strengthened the effect of GI on economic and environmental performance. The empirical evidence provides important theoretical and practical repercussions for manufacturing SMEs and policymakers.

This study contributes to the literature on BDA by empirically exploring the effects of MC and TC on improving the EcP and EnP of manufacturing firms. It does so through the indirect impact of GIs and the moderating effect of CgI, thereby extending the Dynamic capabilities view (DCV) paradigm.

This study aims to observe the influence of environmental management accounting (EMA) and environmental knowledge management (KM) practices on environmental performance with mediating role of top management support (TMS). Moreover, green work climate perception (GWCP) is used as a moderator between TMS and environmental performance.

Partial least square-structural equation modeling is used to test research hypotheses. Data was collected to distribute questionnaires in light of the purposive sampling technique; a total of 329 questionnaires were used for final analysis. This study is correlational and cross-sectional. Multiple regression analysis was used to see the influence of EMA, environmental KM practices, TMS and GWCP on environmental performance.

The results reveal that EMA, environmental KM practices and TMS are positively related to environmental performance. Moreover, TMS significantly mediates between EMA, environmental KM practices and environmental performance. GWCP is positively associated with environmental performance. Finally, GWCP significantly strengthens the positive relationship between TMS and environmental performance.

This study highlighted a significant issue that of how top management uses EMA, environmental KM practices, TMS and GWCP in examining environmental performance. Moreover, this study covers the gap and supports top management to concentrate on exogenous variables to examine environmental performance.

This study adds value to literature to focus on factors that influence environmental performance. This initial research observes the influence of EMA and environmental KM practices on environmental performance with TMS as a mediator in light of the knowledge-based view. Besides, GWCP is used as a moderator between TMS and environmental performance. Finally, our research can provide benefits to researchers, students and managers.