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The purpose of this paper is to present the optimal double sampling attribute plan using the weighted Poisson distribution.

For the given AQL and LQL, sum of producer’s and consumer’s risks have been attained. Based on the weighted Poisson distribution, the sum of these risks has been optimized.

In the final inspection, the producer and the consumer represent the same party. So, the sum these two risks should be minimized. In this paper, the sum of risks has been tabulated using the weighted Poisson distribution for different operating ratios. These tabulated values are comparatively less than the sum of risks derived using Poisson distribution.

The sampling plan presented in this paper is particularly useful for testing the quality of finished products in shop floor situations.

The purpose of this paper is to present the single sampling attribute plan for given acceptance quality level (AQL) and limiting quality level (LQL) involving minimum sum of risks using weighted Poisson distribution.

For the given AQL and LQL, sum of producer's and consumer's risks have been attained. Based on weighted Poisson distribution, the sum of these risks has been arrived at, along with the acceptance number and the rejection number. Also, the operating characteristic function for the single sampling attribute sampling plan, using weighted Poisson distribution, has been derived.

In the final inspection, the producer and the consumer represent the same party. So, the sum these two risks should be minimized. In this paper, the sum of risks has been tabulated using weighted Poisson distribution for different operating ratios. These tabulated values are comparatively less than the sum of risks derived using Poisson distribution.

The sampling plan presented in this paper is particularly useful for testing the quality of finished products in shop floor situations.

Based on positive organizational scholarship, this study aims to examine the role of faculty engagement in mediating the relationship between quality of work-life (QWL) and organizational commitment. The paper also analyses how spiritual leadership moderates the relationship between QWL and faculty engagement.

The data was collected through structured questionnaires from undergraduate and postgraduate teachers working in various business schools across major cities in India. The sample was selected through the snowball sampling technique. The sample size was 486, and analysis was done through the structural equation modelling approach using the bootstrapping method.

Findings indicate that faculty engagement mediates the relationship between QWL and organizational commitment among teachers. Furthermore, results show that educational institutions that practice spiritual leadership support higher positive psychological and emotional states of engagement.

The paper provides an integrated model of engagement, commitment and QWL through a study of mediation and moderation effects and adds value to the psychology and workplace spirituality literature. There is the future scope for further generalizations of the model in different geographical contexts to analyse the influence of other leadership styles.

Furthermore, it would help educational institutions to design QWL strategies for engaging teachers psychologically, emotionally and cognitively by accelerating employees’ positive emotions and behaviours. Finally, the paper shows implications for developing the QWL strategies to create a committed and engaged workforce through spiritual leadership.

The paper contributes to the academic literature by investigating interrelationships among variables from a positive organizational scholarship perspective. The paper would help practitioners to comprehend the importance of spiritual leadership in educational institutions.

The paper analyses the link between corporate social responsibility (CSR), employer branding (EB), and corporate reputation (CR). Considering the signaling theory and social commitment of organisations, the paper investigates the role of EB as a mediator.

Data were collected through structured questionnaires from 684 employees from the Indian information technology (IT) sector. The conceptual model and hypotheses were tested using the structural equation modelling (SEM) approach.

As a part of employer attractiveness, the social value/social commitment of companies perceived as a result of CSR strengthens the CR. The results also suggest that EB mediates the relation between CSR and CR.

The paper contributes by integrating the CSR of organisations with their EB process for creating CR. Based on signaling theory, it further demonstrates scholarly value addition by providing a deeper understanding of the mediation effect of EB from a social commitment perspective. Scholars may further consider other stakeholders’ perspectives to test the role of CSR based on ethical/legal/environmental dimensions in building CR.

The paper would help managers/employers invest in CSR activities, creating strong employer brands to attract various stakeholders. It will also help companies to focus on an attractive value proposition to attract various stakeholders, mainly job seekers.

This study extends the literature on CSR and EB by suggesting a statistically tested model of mediation of EB for creating CR. Furthermore, considering the signaling theory, the paper views CSR, CR, and EB from the employee’s perspective and explores their linkages.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2021-0541.

This article provides tables based on the Poisson model for selection of chain sampling plans of type ChSP‐(0,1). The Indifference Quality Level and the Maximum Allowable Percent Defective are the criteria used for fixing the ChSP‐(0,1) plan. Procedures for selection of plans for given (IQL,AOQL) and (MAPD,AOQL) are also discussed.

The present study is an attempt to extend the Model of Goal-directed Behavior (MGB) to consider health consciousness and perceived privacy protection as two critical factors to predict desire and intention by individuals to adopt and use wearable health devices (WHDs).

Based on the literature review hypotheses were framed and tested using data collected through a questionnaire survey. A total of 418 self-reported complete responses were considered to analyze the hypotheses proposed in the study. Structural equation modeling, effects analysis and model comparison (MGB and extended MGB) were performed to understand the predictability of the suggested model.

The results of the study corroborate that along with MGB, health consciousness and perceived privacy protection also induces the intention of users toward using WHDs. Health-consciousness is found to have a positive and significant direct and indirect impact on intention to use WHDs. Further, the model comparison exhibits that the proposed extended MGB is a better predictor of intention to use WHDs.

Apart from the conventional framework of MGB, health consciousness and perceived privacy protection promote desire and intention to use WHDs. This research provides a framework for marketers to promote health consciousness among consumers by motivating them to adopt WHDs. Further, privacy protection features should be showcased in order to induce trust in consumers which in turn will trigger their intention to use WHDs to lead a healthy lifestyle.

The current study incorporates health consciousness and perceived privacy protection in MGB to fit into the context of healthcare intention study, which enhances the predictability of intention behavior of consumers and adds to the existing body of MGB and healthcare literature.

The purpose of this paper is to design a modified chain sampling plan for assuring the product percentile life where the lifetime follows Weibull or generalized exponential distributions (GEDs). In order to reduce the cost of inspection when implementing the proposed modified chain sampling plan, it is also considered the economic aspect of designing of proposed plan in this paper.

The authors have designed the proposed plan on the basis of two points on the operating characteristic (OC) curve approach. The optimization problem is used to determine the plan parameters of the proposed plan so that the specified values of producer’s risk and consumer’s risk are satisfied simultaneously.

The results we have obtained, confirm that the proposed plan will be very effective in reducing the sample size rather than other existing sampling plans. The OC curves of proposed plan, chain sampling plan and zero acceptance number single sampling plan show that the performance of proposed plan in discriminating the good and poor quality lots is better than other two plans. In this paper, it is proved that the value of number of preceding lots required for current lot disposition plays an important role.

The proposed modified chain sampling plan for assuring the percentile lifetime of the products under Weibull or GEDs is not available in the literature. The proposed plan can be used in all the manufacturing industries to assure the product percentile lifetime with minimum sample size as well as minimum cost.

A table and a procedure are given for finding the single‐sampling quick switching system for which the sum of producer′s and consumer′s risks is minimum for specified Acceptable Quality Level and Limiting Quality Level.

Understanding consumer behavior across various contexts within marketing has long been the focus of studies. Although many models are used in explaining consumers' behavior, one of these is the Model of Goal-Directed Behavior (MGB), which is becoming prominent in explaining consumers' behavior in marketing. Given its popularity, prior research on MGB has shown inconsistent outcomes regarding the casual association of MGB variables. To overcome this, the authors have adopted a meta-analytic review of the marketing studies grounded on MGB theory in examining the consumers' behavior.

The study reviewed and analyzed 611 correlations from 27 studies with 31 samples (combined sample size of 9588) using a meta-analytic structural equation modeling (MASEM) technique.

The outcomes of MASEM confirm the significance of all the proposed relationships in the MGB model. However, the attitude has shown a strong influence on desire formation among all the proposed MGB relationships. Further, past buying experience and positive anticipated emotions strongly affect desire in developed nations compared to developing nations.

The current work has considered the possibility of various recommended moderators (e.g. culture, crisis situation, sample size, method of data collection, etc.); however, the study lacks to consider the dimension of gender dominance in it. Hence, future researchers should keep it in mind while conducting similar studies. Future scholars can also perform a comparative study on MGB across the domains and subdomains to know more insights.

The current work offers a better understanding of MGB application in marketing. As this work is one of the first meta-analyses on MGB application in marketing that also considers the effect of various moderators, it thus adds knowledge to the literature on MGB in marketing. It will also help the future researchers to understand MGB as a framework and its application in marketing.

This study aims to examine the factors influencing consumers’ intentions to use QR code menus in the post-COVID-19 pandemic using the unified theory of acceptance and use of technology and rational choice theory as the theoretical foundations.

Using a survey method, 200 data are collected from consumers who had used QR code menus in the past. Partial least squares structural equation modelling is used to analyse the data.

Our findings show that performance expectancy, effort expectancy, social influence, habit and perceived privacy protection have a significant positive influence on intentions. However, facilitating conditions, hedonic motivation and perceived privacy risk do not have a significant influence on intentions.

This study further extends the work of previous studies by using the unified theory of acceptance and use of technology model, with additional two new predictors, namely perceived privacy protection and perceived privacy risk, to understand consumers’ intentions to use QR code menus.