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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.

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.

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.

Owing to the significance of a healthy lifestyle, we investigate the antecedents of the healthy lifestyle of young consumers in Sri Lanka. 658 structured questionnaires were collected from young consumers in Sri Lanka as part of the survey procedure. The judgmental sampling method is used to choose the respondents. The analysis makes use of both descriptive and inferential statistics. The findings disclose a high degree of healthy lifestyle among young consumers in Sri Lanka. Further findings revealed that health consciousness, collective esteem, and neighborhood environment are the antecedents for a healthy lifestyle. As young consumers are more concerned about a healthy lifestyle, managers in certain industries such as food and beverages, hotels, and restaurants should adopt their products and services in line with a healthy lifestyle.

The ability to economically and effectively service products provides an avenue for extending the product’s useful life. Quantifying approaches are needed to assist in the serviceability evaluation. In this study, the serviceability characteristics of a product are categorized into three groups: disassembly, reassembly, and handling. Often, many of the serviceability characteristics of a product cannot be defined completely or properly using crisp design data. Moreover, the serviceability analysis is an imprecise science characterized by ill‐structured and subjective evaluation criteria. A formal methodology for representing and processing the design information of an artifact using a hierarchical fuzzy neural network (FNN) model is presented. First, three FNNs are used to compute the disassembly, reassembly, and handling indices. Second, the output of the three FNNs is fed into a separate FNN to compute the serviceability index. The designer can use the proposed model to rank alternate designs by computing the serviceability indices of each candidate design. The working of the proposed model is demonstrated by using two designs for a steam iron.

Total quality management (TQM) and knowledge management (KM) are two similar and complementary management philosophies synergistic combinations that can form a cycle of improvement and development. This paper aims to investigate the impact of TQM factors on knowledge creation in the organizations of Bangladesh.

A list of TQM factors was identified through reviewing the relevant literature. Knowledge creation was analyzed through the framework proposed by Nonaka and Takeuchi (1995). Data were collected through a self-administered questionnaire survey among 450 top and mid-level managers of the organizations. A quantitative research approach, namely, structural equation modeling (SEM) was used in the study. The data were analyzed in SmartPLS 3.

From the study, it is found that a positive and significant relationship exists between leadership, employee empowerment, benchmarking, customer focus and information technology with the knowledge creation process and four knowledge conversion modes. In contrast, a negative and significant relationship has been found between employee training and continuous improvement with the knowledge creation process and three knowledge conversion modes.

Previous researches in Bangladesh empirically validated the effect of TQM on organizational performance, competitive advantage, financial performance, market performance and productivity. But, no such study was undertaken to empirically validate the effect of TQM on knowledge creation process for organizations of Bangladesh. Here, the study has a unique contribution. The empirical support for the hypotheses to explain and predict the contribution of the TQM in promoting knowledge creation.

The findings highlight the role of leadership practices. Organizational leadership needs to focus more on following issues: gathering required knowledge from the superior sources; transforming prevailing knowledge into a meaningful format to perform activities in better and innovative ways; employing opinions from experiences; facilitating mechanism for employees to update their knowledge; creating a virtual network; implementing customer relationship management system and providing tools and technologies to employees for performing KM activities more efficiently. On the other hand, negative effect of employee training and continuous improvement on knowledge creation sheds light on understanding the reasons for this kind of relationship and formulating effective strategies to resolve problems inside the organizations. In this regard, employees need to be well equipped through regular and appropriate training. Also, employees need to use problem-solving approach to identify problems inside the organizational system thereby availing opportunities for continuous improvement.

This study was conducted to identify factors that enable knowledge creation in organizations from developing countries like Bangladesh. TQM has been adopted in many organizations. But, its effect was mostly measured to determine its impact on improving organizational performance or competitiveness or identifying its critical success factors of implementation. Hence, this study sheds light on identifying the effect of TQM from a new perspective.

Aims to develop a selective disassembly methodology for generating an optimum disassembly sequence for end‐of‐life (EOL) products.

The paper presents a selective disassembly methodology for EOL products. In order to achieve this, Nevins and Whitney's methodology for assembly was modified. In addition, a Java‐based software was developed to speed up the generation of all possible disassembly sequences.

Finds that the methodology developed by Nevins and Whitney for assembly is applicable to disassembly process. In addition, the winnowing process for disassembly is much easier than for assembly because of the selective disassembly approach, which automatically provides a significant constraint on possible sequences.

Provides an easy to use and visual disassembly sequence generation tool for end‐of‐life products.

Disassembly is one of the significant cost drivers in achieving close loop manufacturing. Application of the methodology proposed in this paper will significantly reduce the disassembly time by providing a disassembly sequence for the selected components with reuse potential.

Provides a graphical representation of disassembly sequences at different stages of the process, which allows the user to visualize the disassembly process.

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.