Search results

Halal integrity assurance is the primary objective of Halal supply chain management. Several halal-related risks are present that have the potential to breach halal integrity. Therefore, this study aims to develop the framework for the assessment of halal-related risk from a supply chain perspective.

Risk related to halal is identified through the combined approach of the systematic literature review and experts’ input. Further, these risks are assessed using the integrated approach of intuitionistic fuzzy number (IFN) and D-number based on their severity score. This integrated approach can handle fuzziness, inconsistency and incomplete information that are present in the expert’s input.

Eighteen significant risks related to halal are identified and grouped into four categories. These risks are further prioritised based on their severity score and classified as “high priority risk” or “low priority risks”. The findings of the study suggests that raw material status, processing methods, the wholesomeness of raw materials and common facilities for halal and non-halal products are more severe risks.

This study only focusses on halal-related risks and does not capture the other types of risks occurring in the supply chain. Risks related to halal supply chain management are not considered in this study. Prioritisation of the risks is based on the expert’s input which can be biased to the experts' background.

The proposed risk assessment framework is beneficial for risk managers to assess the halal related risks and develop their mitigation strategies accordingly. Furthermore, the prioritisation of the risks also assists managers in the optimal utilisation of resources to mitigate high-priority risks.

This study provides significant risks related to halal integrity, therefore helping in a better understanding of the halal supply chain. To the best of the authors' knowledge, this is the first comprehensive study for developing a risk assessment model for the halal supply chain.

The purpose of this paper is to highlight a collaborative effort between academia (University of North Texas, Team Sciences) and practice (Toyota Connected (TC)). This study concentrated on current problems that had been experienced by TC: How to structure and manage multiteam systems (MTSs)?

This research study utilized a realist systematic review to address an existing problem by working collaboratively with TC and academia. This collaboration involved problem identification, the development of research questions and a full systematic review guided by the research questions.

This realist systematic review merged the literature with current practices at TC in an effort to gather evidence to support the best method of structuring and managing MTSs. The findings include a leadership structure that incorporates both shared leadership (bottom-up) and existing hierarchical structures (top-down).

The MTS models presented in this study provide new models for organizations/manufacturers/industries to use as a guide when structuring their MTSs.

This study provides an example of a collaborative research effort between practice and academia using a realist systematic review. The paper also provides some multiteam system models that could be implemented and tested in different organizations. Also, new responsibilities and roles for scrum and MTSs are presented as a new method of achieving Agile.

The purpose of this paper is to present recent empirical results concerning offshoring and backshoring of manufacturing from and to Sweden, to increase the understanding of manufacturing relocation in an international context. In particular, extent, geographies, type of production, drivers, and benefits of moving manufacturing in both directions are investigated.

The study is based on survey data from 373 manufacturing plants. The same set of questions is used for both offshoring and backshoring between 2010 and 2015, which allows similarities and differences in decision-making and results between the two relocation directions to be identified.

There are many significant differences between offshoring and backshoring projects. Labour cost is the dominating factor in offshoring, as driver and benefit, while backshoring is related to many drivers and benefits, such as quality, lead-time, flexibility, access to skills and knowledge, access to technology, and proximity to R&D. This is also reflected in the type of production that is relocated; labour-intensive production is offshored and complex production is backshored.

Plants that have both offshored and backshored think and act differently than plants that have only offshored or backshored, which is why it is important to distinguish between these plant types in the context of manufacturing relocations.

The experience of Swedish manufacturing plants reported here can be used as a point of reference for internal manufacturing operations.

The survey design allows a unique comparison between offshoring and backshoring activity. Since Swedish firms in general have been quite active in rearranging their manufacturing footprint and have experience from movements in both directions, it is an appropriate geographical area to study in this context.

On the basis of the social identity and congruity theories, the present research aims to propose that value congruity directly affects customer–brand identification (CBI), affective brand commitment and customer–brand engagement (CBE), which, in turn, paves the way for advancing consumer relationships with hospitality brands, as measured through brand loyalty. As such, this study serves to enhance existing insight into customer relationship management dynamics, with a particular focus on hospitality brands.

The present study develops a theoretical framework that is empirically investigated by using confirmatory factor analysis and structural equation modelling analyses. Data were collected by using a self-administered questionnaire of 340 customers of four- and five-star hotel brands in India.

The results suggest value congruity as an important driver of CBI, affective commitment and CBE within hospitality brands. The results also reveal CBI to act as a significant predictor of affective commitment, CBE and brand loyalty. Furthermore, affective commitment and CBE are the significant drivers of loyalty to hospitality brands.

The research is exploratory in nature and is restricted to four- and five-star hotel customers, thereby reflecting important limitations of this study. Given these issues, ample opportunities exist for further research to further explore and/or validate the reported findings.

The current research provides new insights for marketing practitioners planning or implementing long-term customer relationship management strategi3es that centre on customer–brand identification, customer–brand engagement and brand loyalty.

Despite existing insights, empirical investigation into the proposed conceptual relationships remains limited to date, particularly in the hospitality industry. By offering empirical evidence in this area, this study adds to the extant body of knowledge on CBI/CBE-centric customer relationship management.

Sobre la base de los planteamientos teóricos de las Teorías de la identidad social y de la congruencia, este trabajo propone que la congruencia de valores afecta directamente a la identificación del consumidor con la marca, al compromiso afectivo y vínculo emocional con la misma, lo cual clarifica la manera con la que construir relaciones de los consumidores con las marcas hoteleras, aproximado a través de la lealtad. Es por ello que este estudio sirve para poner en valor las dinámicas existentes actualmente en la gestión de las relaciones con los clientes con un particular énfasis en el mercado hotelero.

Este trabajo desarrolla un marco teórico que es empíricamente contrastado a través del análisis de ecuaciones estructurales. Los datos fueron recogidos a partir de cuestionarios auto-administrados a una muestra de 340 clientes de hoteles de 4 y 5 estrellas en la India.

Los resultados sugieren que la congruencia de valores es un importante factor explicativo de la identificación del consumidor con la marca, el compromiso afectivo y el vínculo emocional con las marcas de hoteles. También se demuestra que la identificación con la marca actúa como un significativo predictor del compromiso afectivo, el vínculo emocional y la lealtad a la marca. Adicionalmente, el compromiso afectivo y el vínculo emocional ejercen un efecto significativo en la lealtad con la marca.

Esta investigación tiene una naturaleza exploratoria y sus resultados se limitan al contexto de los hoteles de 4 y 5 estrellas. Sobre la base de los resultados obtenidos, se abre un amplio número de oportunidades para el desarrollo de futuras investigaciones que confirmen validez de los resultados obtenidos.

Los resultados obtenidos proporcionan interesantes líneas de actuación para que los directivos de marketing planifiquen e implementen sus estrategias de desarrollo de relaciones con los clientes en torno a la identificación con la marca, el vínculo emocional y la lealtad hacia la misma.

Las evidencias empíricas existentes hasta la fecha son bastantes limitadas hasta la fecha, en particular en la industria hotelera. En este sentido, el presente trabajo proporciona evidencias empíricas en este ámbito y enriquece la literatura existente sobre la gestión de las relaciones con los clientes bajo un enfoque de identificación y vínculo emocional con la marca.

This paper aims to introduce a crowd-based method for theorizing. The purpose is not to achieve a scientific theory. On the contrary, the purpose is to achieve a model that may challenge current scientific theories or lead research in new phenomena.

This paper describes a case study of theorizing by using a crowd-based method. The first section of the paper introduces what do the authors know about crowdsourcing, crowd science and the aggregation of non-expert views. The second section details the case study. The third section analyses the aggregation. Finally, the fourth section elaborates the conclusions, limitations and future research.

This document answers to what extent the crowd-based method produces similar results to theories tested and published by experts.

From a theoretical perspective, this study provides evidence to support the research agenda associated with crowd science. The main limitation of this study is that the crowded research models and the expert research models are compared in terms of the graph. Nevertheless, some academics may argue that theory building is about an academic heritage.

This paper exemplifies how to obtain an expert-level research model by aggregating the views of non-experts.

This study is particularly important for institutions with limited access to costly databases, labs and researchers.

Previous research suggested that a collective of individuals may help to conduct all the stages of a research endeavour. Nevertheless, a formal method for theorizing based on the aggregation of non-expert views does not exist. This paper provides the method and evidence of its practical implications.

Rough set theory is a simple and potential methodology in extracting and minimizing rules from decision tables. Its concepts are core, reduct and discovering knowledge in the form of rules. The decision rules explain the decision state to predict and support the new situation. Initially it was proposed as a useful tool for analysis of decision states. This approach produces a set of decision rules involves two types namely certain and possible rules based on approximation. The prediction may highly be affected if the data size varies in larger numbers. Application of Rough set theory towards this direction has not been considered yet. Hence the main objective of this paper is to study the influence of data size and the number of rules generated by rough set methods. The performance of these methods is presented through the metric like accuracy and quality of classification. The results obtained show the range of performance and first of its kind in current research trend.

The complex network structure causes several disruptions in the supply chain that make risk management essential for supply chain management including halal supply chain (HSM). During risk management, several challenges are associated with the risk assessment phase, such as incomplete and uncertain information about the system. To cater this, the authors propose a risk assessment framework that addresses the issues of uncertainty using neutrosophic theory and demonstrated the applicability of the proposed framework through the case of halal supply chain management (HSCM).

The proposed framework is using the capabilities of the neutrosophic number which can handle uncertain, vague and incomplete information. Initially, the risk related to the HSC is identified through a literature review and expert’s input. Further, the probability and impact of each HSM-related risk are assessed using experts’ input through linguistic terms. These linguistic values are transformed into single-value trapezoidal neutrosophic numbers (SVTNNs). Finally, the severity of each HSM-related risk is determined through the multiplication of the probability and impact of each risk and prioritised the risks based on their severity.

A comprehensive risk assessment framework is developed that could be used under uncertainty. Initially, 16 risks are identified related to the HSM. Further, the identified risks are prioritised using the severity of the risks. The high-priority risk is “raw material status”, “raw material wholesomeness” and “origin of raw material” while “information integrity” and “people integrity” are low-priority risks.

HSM risk can be effectively assessed through the proposed framework. The proposed framework applied neutrosophic numbers to represent real-life situations, and it could be used for other supply chains as well.

The proposed method is effectively addressing the issue of linguistic subjectivity, inconsistent information and uncertainty in the expert’s opinion. A case study of the HSC is adopted to illustrate the efficiency and applicability of the proposed risk framework.