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This study aims to propose a quantitative approach to reduce the number of suppliers in an organization. This method is based on grouping, and different parts are grouped based on the capabilities they need and are allocated to suppliers who have these capabilities. In this regard, an integrated model for supplier reduction and grouping of parts using a group technology-based algorithm is proposed.

Design science research methodology was used in this study. The main problem under investigation is a large number of suppliers in an organization’s supply base. The proposed model was used to solve this problem in the electric motor industry.

The results of implementing the proposed model in the electric motor industry showed that reducing suppliers had a significant effect on reducing cost, increasing information sharing, increasing supplier innovation and technology, enhancing the relationship between buyers and sellers and reducing risks in the production process.

From a managerial point of view, reducing the number of suppliers plays an important role in the company’s overall strategy, and seems to be a prerequisite for building a strong supplier partnership and an effective supply chain, and will have many benefits for the focal company and suppliers.

To the best of the authors’ knowledge, grouping and formation of product families have never been performed based on the similarity of the operational capabilities required for producing parts, and it has not been addressed as a solution for reducing suppliers.

This paper intends to propose an approach for formation of the R&D project teams, so that in addition to the selection of the most expert individuals, facilitates the knowledge sharing among people.

Mathematical modeling was used to formulate the problem of selecting appropriate members for the project team. As the problem was formulated as a bi-objective mixed integer nonlinear programming problem, it was initially transformed from nonlinear to linear problem, and then, the global criterion method was applied to convert the problem into a single-objective problem. To collect the data for exogenous variables, the measurement scales (their validity had been verified in previous research) were adopted.

The results of various tests for evaluating the proposed approach in the case study confirmed its effectiveness in selecting the appropriate members of the project team.

Using the proposed approach, R&D project managers will be able to select the most appropriate members for the project team and, while ensuring the achievement of project objectives, prevent the loss of knowledge gained in the project lifecycle.

This paper is the first attempt to provide an approach for sharing the knowledge gained by the project team members in the R&D projects.

The purpose of this paper is to examine the influence of socio-psychological factors from different theoretical perspectives, as well as the roles of technological and cultural facilitators on knowledge sharing (KS) behaviors and whether it leads to superior employees’ innovative work behaviors.

Partial least squares analysis was used to investigate the research model based on a survey of 257 employees from 22 high-tech companies (including companies in pharmaceutical, nano technological, biotechnological, aviation, and aerospace industries) in Iran.

The results supported the effects of three motivational factors, i.e. perceived loss of knowledge power, perceived reputation enhancement, and perceived enjoyment in helping others, and two social capital factors, i.e. social interaction ties and trust, on employees’ attitude toward KS. Findings also indicated that employees’ KS behaviors enhance their innovative work behaviors.

Since the survey used cross-sectional data and samples here were limited to some Iranian companies, the results of this study may prove not to be generalizable and should be confirmed using larger samples and/or longitudinal studies.

The findings provide useful insights into how managers should encourage employees’ KS attitudes, intentions, and behaviors to foster innovative work behaviors of employees.

This study is one of the first attempts to fill the void in integrative research for examining relationships among KS determinants, behaviors, and outcomes.

The purpose of this paper is to provide a method for selection of the new product development (NPD) project team members, in such a way to maximize the expertise level of team members and at the same time, optimize knowledge sharing in the organization.

According to the motivation-opportunity-ability framework, knowledge sharing antecedents were determined. Then, the problem of selecting appropriate members of the project team was formulated as a bi-objective integer non-linear programming model. Due to the uncertainty conditions in the evaluation of candidates, the fuzzy sets approach was used for modeling. To solve the problem, first, the non-linear programming model was converted to a linear model. Subsequently, the fuzzy bi-objective linear programming problem was solved by using an approximate algorithm.

Results of applying the proposed method to an Iranian ship-building company showed its effectiveness in selecting appropriate members of the project team.

With the aid of the proposed approach, project managers will be able to form effective project teams that while increasing the success probability of the project, facilitate the maintenance of knowledge acquired during the project lifecycle.

This paper, for the first time, has tried to provide a method for selecting the NPD project team members, in a way that while selecting candidates with highest expertise, maximizes the sharing of knowledge among them.

The halal food market is a large and fast-growing market. To maintain and boost the growth of the halal food industry, scholars have attempted to understand the behaviour of Muslims and non-Muslims towards halal food. To advance understating of previous studies on behaviour towards halal food and shedding light on future studies, this study aims to systematically review the literature.

A sample of 985 peer-reviewed papers was extracted from Scopus and Web of Science databases. A total of 96 articles related to customers' behaviour towards halal food by reviewing the titles, abstracts and contents of the extracted articles were identified and reviewed.

This study illustrates: (i) various research designs and methodology used in halal food context, (ii) theories that researchers used to explain customer behaviour towards halal food, (iii) most tested behaviours and (iv) determinants of customer behaviour towards halal food.

The findings provide deep insights into the current state of halal food literature. This paper highlights many gaps in the literature and suggests directions for future studies to advance the understanding of customer behaviour towards halal food. This study will help researchers to identify the new dimensions of research and contribute to the literature.

According to the great importance of community health as well as the ever-increasing development of health technologies, the importance of designing an interactive model of factors affecting health technology assessment (HTA) can be highlighted. The purpose of designing and implementing the framework of health information system assessment is to ensure that the required accurate data which are necessary to measure the main health indicators are available. The purpose of this paper is to design an interactive model of factors affecting HTA.

This is a cross-sectional, descriptive-analytic study conducted in the Iran Ministry of Health and Medical Education in the second half of 2017. A sample of 60 experts and professionals working in the field of health technologies are selected using purposive and snowball sampling methods. Two researcher-made questionnaires are used to collect the required data. The collected data are analyzed using decision-making trial and evaluation laboratory (DEMATEL) and MATLAB R2013a.

The results showed that “Legal dimension,” “safety,” “Effectiveness” and “Social dimension” were the affecting factors and net causes, and “Current application,” “Knowledge of technology,” “Ethical dimension,” “Costs” and “Organizational dimension” were the affected factors and net effects in the interactive model. Furthermore, “Legal dimension” with the coordinates C: [1.88, 1.27] and “Ethical dimension” with the coordinates C: [1.75, −75] were known as the most affecting and most affected factors in the interactive model, respectively.

The DEMATEL model is an appropriate tool for managers and policy makers to structure and prioritize factors influencing the HTA. Policy makers and decision makers can use this model for identifying relationships among factors and prioritize them. Because health policy makers and managers have a major role in formulating the regulations and guidelines related to the HTA, they should pay more attention to the legal considerations in their decisions and use the management tools to move the available resources toward implementing and enforcing rules and guidelines related to the HTA.

This study aims to explore and ranks the factors that might determine attitudes and intentions toward using autonomous vehicles (AVs).

The “technology acceptance model” (TAM) was extended by assessing the moderating influences of personal-related factors. Data were collected from 378 Vietnamese and analysed using a combination of “partial least squares” and the “adaptive neuro-fuzzy inference system” (ANFIS) technique.

The findings demonstrated the power of TAM in explaining the attitude and intention to use AVs. ANFIS enables ranking the importance of determinants and predicting the outcomes. Perceived ease of use and attitude were the most crucial drivers of attitude and intention to use AVs, respectively. Personal innovativeness negatively moderates the influence of perceived ease of use on attitude. Data privacy concerns moderate positively the impact of perceived usefulness on attitude. The moderating effect of price sensitivity was not supported.

These findings provide insights for policymakers and automobile companies' managers, designers and marketers on driving factors in making decisions to adopt AVs.

The study extends the AVs literature by illustrating the importance of personal-related factors, ranking the determinants of attitude and intention, illustrating the inter-relationships among AVs adoption factors and predicting individuals' attitudes and behaviours towards using AVs.

Customers increasingly use food delivery applications (FDAs) to place orders. Despite the popularity of FDAs, limited research has investigated the drivers of the continuance intention to use FDAs. This study aims to uncover the drivers of the continuance intention to use FDAs by integrating the “technology continuance theory” (TCT) with perceived task-technology fit, perceived value and perceived food safety.

Data were collected from 398 individuals in Thailand and evaluated using “partial least squares” (PLS) and “fuzzy-set qualitative comparative analysis” (fsQCA).

The PLS results supported the significance of all direct relationships, except the effects of perceived ease of use on attitude and perceived usefulness on continuance intention. Accordingly, perceived food safety positively moderated the impact of perceived ease of use on attitudes. The fsQCA uncovered seven solutions with various combinations of factors that predicted high continuance intention.

This study enables food delivery apps to develop effective strategies for retaining users and sustaining financial performance.

This research contributes to the literature by investigating the factors underlying the continuous use of FDAs with a new PLS-fsQCA technique and applying TCT in a new technological context, FDAs and enriching it by adding three variables: perceived task-technology fit, perceived value and perceived food safety.

The study challenges the assumption of independence among Technological, Organizational and Environmental (TOE) factors and investigates the influence of TOE factors on Big Data Analytics (BDA) adoption among Small and Medium Enterprises (SMEs). Top management support was proposed as a mediator between technological and organizational factors and BDA adoption. Furthermore, the moderating effect of environmental factors on the association between relative advantage, compatibility, competitiveness, organizational readiness and BDA adoption was evaluated.

Data were collected from 171 SME manufacturing firms and analyzed using the partial least squares technique.

The findings confirmed the interrelationships among the TOE factors. The effects of compatibility, competitiveness and organizational readiness on BDA adoption were mediated by top management support. Furthermore, environmental factors moderate the influences of compatibility and organizational readiness on top management support.

The findings contribute to the TOE model by challenging the assumption of independence among TOE factors, and future studies should use this model with more caution and consider the potential relationships between TOE factors.

Past research shows that workplace fun has a positive effect on informal learning, however, the role of individual and organizational mediating variables in this relation has not been studied much. This study aims to examine the role of management support, motivation to learn and learning opportunity in the relationship between workplace fun and informal learning.

In this multivariate correlation study, data were collected through questionnaires. In total, 200 employees of the petrochemical industry participated. Partial least squares structural equation modeling was used to analyze the data.

The main finding suggests that motivation to learn contributes to informal learning. Fun in the workplace has a positive and significant indirect effect on informal learning by providing a variety of opportunities to learn; the management support in the final model also mediates the relationship between workplace fun and opportunities to learn.

The results indicate the benefits of creating and maintaining fun in the workplace to improve informal learning. The authors will be better able to advise by providing abundant resources for formal training such as time, learning climate and financial resources, workplace fun can be used as a practical strategy to promote informal learning where the workplace is fun, innovation, creativity and performance improvement occur. Managers should make arrangements to spontaneously motivate employees to learn informally and provide fun and varied opportunities for informal learning.

In this study, the multiple correlations and the effect of motivation variables, learning opportunity and management support in the relationship between workplace fun and informal learning were studied. Examining how these relationships are and identifying the moderator of this relationship because of individual and environmental differences requires further studies.