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Article
Publication date: 5 November 2018

Andreas Wieland, Florian Kock and Alexander Josiassen

This paper aims to identify scale purification criteria for both uni- and multidimensional reflective scales and apply these criteria to an evaluation of the methodological status…

Abstract

Purpose

This paper aims to identify scale purification criteria for both uni- and multidimensional reflective scales and apply these criteria to an evaluation of the methodological status quo of the hospitality literature.

Design/methodology/approach

Based on a literature review, the authors develop a taxonomy of statistical and judgmental criteria across scale levels, from which best practices are derived. Recent publications in leading hospitality journals are then evaluated based on these scale purification steps.

Findings

The authors uncover a lack of transparency when reporting scale purification practices. Moreover, methodological steps are often entirely omitted or insufficiently followed, especially when it comes to judgmental scale purification practices.

Research limitations/implications

The authors focus on reflective scales in the hospitality discipline. Methodological traditions in other fields might lead to different results if the chosen approach was to be repeated there.

Practical implications

The authors provide a set of suggestions that will help researchers in hospitality and adjacent disciplines to greater consensus and consistency of application regarding the methodological steps when carrying out scale purification in reflective scales.

Originality/value

Application of scale purification in hospitality research has been scarce. The authors extend existing research and provide the most comprehensive study so far of present and best scale purification practices, using both statistical and judgmental criteria.

Details

International Journal of Contemporary Hospitality Management, vol. 30 no. 11
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 20 October 2023

Abdul Rehman Shaikh

This study aims to identify the enablers of supply chain resilience (SCR) through a literature review and expert panel input in the context of Pakistan and the post-pandemic era…

Abstract

Purpose

This study aims to identify the enablers of supply chain resilience (SCR) through a literature review and expert panel input in the context of Pakistan and the post-pandemic era. This study also aims to categorize and rank the identified enablers using expert panel input.

Design/methodology/approach

A review of the extant literature was conducted to investigate and identify the factors that contribute to SCR. The relative ranking of the enablers was carried out by a group of industry and academic experts. The expert panel was convened to compare the main categories and each enabler in pairs and to score the enablers using triangular fuzzy numbers.

Findings

This study identified 16 critical SCR enablers. Using the fuzzy analytic hierarchy process (AHP), these enablers were divided into three groups and analyzed. The results show that financial enablers, technology enablers and then social enablers are prioritized when it comes to SCR in emerging markets. The robustness of the ranking of enablers is tested through sensitivity analysis.

Practical implications

The results shall be helpful for policymakers and managers to understand the important enablers and also help allocate resources to important enablers. Managers will be able to formulate strategies to achieve SCR in an uncertain environment.

Originality/value

This is one of the first attempts to identify and rank the enablers of SCR in an emerging economy context.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 20 February 2018

Rui Sousa and Marlene Amorim

Multichannel (MC) service providers have been adopting a wide diversity of front-office service delivery models, i.e. different ways of employing channels to support the delivery…

Abstract

Purpose

Multichannel (MC) service providers have been adopting a wide diversity of front-office service delivery models, i.e. different ways of employing channels to support the delivery of the service activities that involve customer interaction. Despite this, we are still faced with a paucity of concepts to understand the myriad of possible choices. The purpose of this paper is to develop a theoretical framework and basic design architectures to provide a structured understanding of the diversity of operational design choices for MC front-office service delivery models, their efficacy implications, and how they fit with the provider’s service strategy.

Design/methodology/approach

The study employs the analytical conceptual approach. The authors logically develop the architectures based on the operations management theory and provide corresponding empirical illustrations based on secondary sources, direct observation, and case studies.

Findings

The authors propose two theoretically meaningful dimensions to characterize and distinguish between delivery models (channel redundancy and channel span) and put forward four anchor architectures for such models: generalist, parallel, constricted, and centralized. The authors identify the operational efficacy implications (effectiveness and efficiency) of the different architectures, and develop a set of propositions and design principles for selecting appropriate architectures.

Research limitations/implications

Future research should develop empirical measures for the dimensions underlying the architectures.

Originality/value

The study extends existing service process classifications by capturing the MC traits of front-office processes. The authors offer design principles to assist firms in selecting architectures that are aligned with their service strategy. The framework and architectures provide seminal concepts to support a wealth of future empirical studies.

Details

International Journal of Operations & Production Management, vol. 38 no. 3
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 1 June 1959

J.H. Argyris and S. Kelsey

Following the self‐equilibrating stress systems developed for the single‐cell fuselage, further stress systems are given for the fuselage with a double‐cell cross‐section. These…

Abstract

Following the self‐equilibrating stress systems developed for the single‐cell fuselage, further stress systems are given for the fuselage with a double‐cell cross‐section. These allow for the direct stress carrying ability of the floor. Wing‐fuselage interaction redundancies are discussed in detail and suitable self‐equilibrating load systems presented. The formation of the associated stress systems in the cover is described with reference to their generation inside the computer. Chapter IV concludes with a brief account of fin attachment loads which serves to introduce two further interaction redundancies to take account of skin attachment. The opening section of Chapter V relates the detailed frame loads to the overall fuselage loading preparatory to the analysis of the closed frames. Matrix equations for the calculation of the statically equivalent wing reactions and of the fuselage moment diagrams are given.

Details

Aircraft Engineering and Aerospace Technology, vol. 31 no. 6
Type: Research Article
ISSN: 0002-2667

Article
Publication date: 8 April 2014

Gül Tekin Temur, Muhammet Balcilar and Bersam Bolat

The purpose of this study is to develop a fuzzy expert system to design robust forecast of return quantity in order to handle uncertainties from the return process in reverse…

1338

Abstract

Purpose

The purpose of this study is to develop a fuzzy expert system to design robust forecast of return quantity in order to handle uncertainties from the return process in reverse logistic network.

Design/methodology/approach

The most important factors which have impact on return of products are defined. Then the factors which have collinearity with others are eliminated by using dimension redundancy analysis. By training data of selected factors with fuzzy expert system, the return amounts of alternative cities are forecasted.

Findings

The performance metrics of the proposed model are found as satisfactory. That means the result of this study indicates that fuzzy expert systems can be used as a supportive tool for forecasting return quantity of alternative areas.

Research limitations/implications

In the future, the proposed model can be used for forecasting other uncertain parameters such as return quality and return time. Other fuzzy systems such as type-2 fuzzy sets can be used, or other expert systems such as artificial neural networks can be integrated into fuzzy systems.

Practical implications

An application at an e-recycling facility is conducted for clarifying how the method is used in a real decision process.

Originality/value

It is the first study which aims to model an alternative forecasting by utilizing fuzzy expert system. Furthermore, a comprehensive factor list which includes predictors of the system is defined. Then, a dimension redundancy analysis is developed to reveal factors having significant impact on the return process and eliminate the rest.

Details

Journal of Enterprise Information Management, vol. 27 no. 3
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 12 September 2016

Md Maruf Hossan Chowdhury and Mohammed Quaddus

Despite the proliferation of supply chain risk management (SCRM) studies, a theoretically supported and empirically validated study on justifying the antecedents and measurement…

7021

Abstract

Purpose

Despite the proliferation of supply chain risk management (SCRM) studies, a theoretically supported and empirically validated study on justifying the antecedents and measurement dimensions of supply chain resilience (SCRE) is rare. Therefore, drawing on extensive literature review, this study aims to explore and validate the antecedents and the measurement dimensions of SCRE.

Design/methodology/approach

This study uses positivist paradigm using quantitative method. However, it also uses qualitative approach in the form of field study to contextualize the research model. The quantitative study is conducted by operationalising a survey research. Partial least square-based structural equation modelling has been used to analyze the data.

Findings

Study results suggest that the psychometric properties of the SCRE dimensions, supply chain readiness, response and recovery, are reliable and valid. It also affirms that supply chain orientation (SCO), learning and development and supply chain risk management culture (SCRMC) significantly influence the SCRE. Further, SCRMC mediates the relationship between SCO and SCRE.

Practical implications

The findings of this study will assist the supply chain managers in taking decision on readiness capability development and reducing the decisional uncertainty during response and recovery.

Originality/value

Drawing on extensive extant literature on crisis management and supply chain management, this study develops and validates the measurement dimensions of SCRE in terms of readiness, response and recovery, as well as justifies the antecedent factors of SCRE, which is a novel attempt in SCRM literature.

Details

Supply Chain Management: An International Journal, vol. 21 no. 6
Type: Research Article
ISSN: 1359-8546

Keywords

Article
Publication date: 15 October 2021

Nosrat Riahinia, Farshid Danesh and Somayeh GhaviDel

Synergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of…

Abstract

Purpose

Synergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of network relations. Recognition of scientific capacities is the basis of synergy. The present study aims to measure and discover the synergistic networks of COVID-19’s top papers at the level of co-authorship, countries, journals, bibliographic couples and titles.

Design/methodology/approach

The synergy indicator, co-authorship co-citation network analysis methods were applied. The research population comprises COVID-19’s top papers indexed in Essential Science Indicator and Web of Science Core Collection 2020 and 2021. Excel 2016, UCINET 6.528.0.0 2017, NetDraw, Ravar Matrix, VOSviewer version 1.6.14 and Python 3.9.5 were applied to analyze the data and visualize the networks.

Findings

The findings indicate that considering the three possible possibilities for authors, countries and journals, more redundancy and information are created and potential for further cooperation is observed. The synergy of scientific collaboration has revealed that “Wang, Y,” “USA” and “Science of the Total Environment” have the most effective capabilities and results. “Guan (2020b)” and “Zhou (2020)” are bibliographic couplings that have received the most citations. The keywords “CORONAVIRUS DISEASE 2019 (COVID-19)” were the most frequent in article titles.

Originality/value

In a circumstance that the world is suffering from a COVID-19 pandemic and all scientists are conducting various researches to discover vaccines, medicines and new treatment methods, scientometric studies, and analysis of social networks of COVID-19 publications to be able to specify the synergy rate and the scientific collaboration networks, are not only innovative and original but also of great importance and priority; SNA tools along with the synergy indicator is capable of visualizing the complicated and multifaceted pattern of scientific collaboration in COVID-19. As a result, analyses can help identify existing capacities and define a new space for using COVID-19 researchers’ capabilities.

Article
Publication date: 17 March 2021

Mikael Hilmersson, Martin Johanson, Heléne Lundberg and Stylianos Papaioannou

Few researchers and even fewer practitioners would deny that serendipitous events play a central role in the growth process of firms. However, most international marketing models…

1181

Abstract

Purpose

Few researchers and even fewer practitioners would deny that serendipitous events play a central role in the growth process of firms. However, most international marketing models ignore the role of serendipity in the opportunity discovery process. The authors provide a nuanced view on international opportunities by developing the role of serendipitous opportunities in the foreign market entry process. The authors develop a model integrating the notions of serendipity, entrepreneurial logic, experiential knowledge and network knowledge redundancy. From the study’s model, the authors condense three sets of hypotheses on the relationships among experiential knowledge and entry strategy, network knowledge redundancy, entry strategy and serendipity.

Design/methodology/approach

The authors confront the study’s hypotheses with data collected on-site at 168 Swedish firms covering 234 opportunities, and to test the hypotheses, the authors ran ordinary least squares (OLS) regression tests in three steps.

Findings

The results of the study’s analysis reveal that experiential knowledge and network knowledge redundancy both lead to a logic based on rigid planning and systematic search, which in turn reduces the likelihood that serendipitous opportunities will be realized in the foreign market entry process.

Originality/value

This is the first study that develops a measure of opportunities that are the outcome of serendipitous events. In addition, the authors integrate network and learning theories and internationalization theory by establishing antecedents to, and outcomes of, the entry strategy.

Details

International Marketing Review, vol. 38 no. 3
Type: Research Article
ISSN: 0265-1335

Keywords

Article
Publication date: 1 March 1956

P.M. Hunt

This paper describes a scheme which enables an electronic digital computer to deal directly with matrices and matrix instructions. It enables the transformation between the…

Abstract

This paper describes a scheme which enables an electronic digital computer to deal directly with matrices and matrix instructions. It enables the transformation between the specification of matrix calculations on paper and the actual operations within the computer to be carried out in easy and concise terms. Using this scheme the paper develops the appropriate programmes of instructions to be given to the computer for the calculations involved when applying the Argyris matrix method for the analysis of stresses and displacements in arbitrary clastic structures. In order to introduce the reader to the technique a programme for a simple structure is given in Part I. General purpose programmes applicable to more complex structures are given in Parts II and III.

Details

Aircraft Engineering and Aerospace Technology, vol. 28 no. 3
Type: Research Article
ISSN: 0002-2667

Article
Publication date: 22 October 2018

Md Nahin Hossain, Md Shamim Talukder, Md Rakibul Hoque and Yukun Bao

The purpose of this paper is to measure the impact of open government data (OGD) on citizen empowerment.

Abstract

Purpose

The purpose of this paper is to measure the impact of open government data (OGD) on citizen empowerment.

Design/methodology/approach

This study advances the body of knowledge on OGD by proposing an integrated research model based on transparency, accountability, participation and collaboration dimensions. The research model was empirically tested using 275 responses using the on-paper survey from the university students and professionals in Bangladesh. Data were analyzed using the structured equation modeling technique.

Findings

Findings revealed that transparency and participation have a positive and significant direct and indirect influence on citizen empowerment through accountability and collaboration. Overall, the four basic pillars of OGD such as transparency, participation, accountability and collaboration interrelated with each other and have the impact on citizen empowerment.

Research limitations/implications

This study has proposed an instrument that sums the dimensions of open government, which avoids tautology and redundancy among OGD dimensions. More research should be done to validate the proposed model and the instruments used in this study.

Practical implications

For the researchers, this study provides a basis for further refinement of individual models of empowerment. For practitioners, understanding the key constructs is crucial to design, refine and implement OGD systems and applications that empower citizens, create public values and strengthen the democratic process.

Originality/value

This research is the first step that empirically investigates the impact of OGD on citizen empowerment which is the ultimate goals of any democratic government.

Details

foresight, vol. 20 no. 6
Type: Research Article
ISSN: 1463-6689

Keywords

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