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1 – 5 of 5Ramin Rostamkhani and Thurasamy Ramayah
This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply…
Abstract
This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.
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Maren Hinrichs, Loina Prifti and Stefan Schneegass
With production systems become more digitized, data-driven maintenance decisions can improve the performance of production systems. While manufacturers are introducing predictive…
Abstract
Purpose
With production systems become more digitized, data-driven maintenance decisions can improve the performance of production systems. While manufacturers are introducing predictive maintenance and maintenance reporting to increase maintenance operation efficiency, operational data may also be used to improve maintenance management. Research on the value of data-driven decision support to foster increased internal integration of maintenance with related functions is less explored. This paper explores the potential for further development of solutions for cross-functional responsibilities that maintenance shares with production and logistics through data-driven approaches.
Design/methodology/approach
Fifteen maintenance experts were interviewed in semi-structured interviews. The interview questions were derived based on topics identified through a structured literature analysis of 126 papers.
Findings
The main findings show that data-driven decision-making can support maintenance, asset, production and material planning to coordinate and collaborate on cross-functional responsibilities. While solutions for maintenance planning and scheduling have been explored for various operational conditions, collaborative solutions for maintenance, production and logistics offer the potential for further development. Enablers for data-driven collaboration are the internal synchronization and central definition of goals, harmonization of information systems and information visualization for decision-making.
Originality/value
This paper outlines future research directions for data-driven decision-making in maintenance management as well as the practical requirements for implementation.
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The aim of this research paper is to investigate entrepreneurial opportunities through digital technology among agrifood businesses. Specifically, the research paper uses resource…
Abstract
Purpose
The aim of this research paper is to investigate entrepreneurial opportunities through digital technology among agrifood businesses. Specifically, the research paper uses resource bricolage theory to evaluate the various activities that agrifood businesses conduct through digital technology, and whether these businesses realise their full potential from these activities.
Design/methodology/approach
Data are gathered from 22 semi-structured interviews with representatives of small agrifood businesses. Maximum variation sampling was used to ensure that respondents were representative of different types of agrifood businesses across the food supply chain. Interview data were analysed through thematic analysis.
Findings
Agrifood businesses engage in a range of activities through digital technology, however, findings point to a continuum of different attitudes among respondents towards the adoption of digital technology, ranging from passive to proactive attitudes. Notable themes from the research identified efficiency and productivity, usability, marketing and connectivity as issues in the adoption of digital technology by agrifood businesses. However, these businesses were less likely to engage in cutting-edge technology activities.
Originality/value
This research contributes to emerging research on digital entrepreneurship, but particularly on digital entrepreneurship in the agrifood sector. This builds on existing debates relating to the passive nature of agrifood businesses towards growth opportunities. The use of research bricolage is also a novel theoretical approach to research on this topic. The development of a digital technology adoption continuum provides businesses and policymakers with a deeper understanding of how digital entrepreneurship opportunities can be harnessed.
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Ekaterina Uglanova, Rosanna Cousins and Jan Dettmers
This study aims to develop a reliable and valid German/Deutsch version of the management standards indicator tool (MSIT-D) to broaden the pool of instruments available to…
Abstract
Purpose
This study aims to develop a reliable and valid German/Deutsch version of the management standards indicator tool (MSIT-D) to broaden the pool of instruments available to practitioners and to support international collaborations regarding this workplace management issue.
Design/methodology/approach
The MSIT-D was translated from English to German, then its psychometric properties examined using data from British employees (n = 321) and German employees (n = 358). Confirmatory factor analyses (CFAs) were used to evaluate the internal structure and measurement invariance, and Cronbach’s alpha was used to assess internal consistency. Comparisons were made with the German language risk assessment tool Fragebogen zur Gefährdungsbeurteilung psychischer Belastungen (FGBU) to examine concurrent and incremental validity. Criterion validity was checked using established measures of work-related health.
Findings
The MSIT-D has an equivalent seven-factor structure (demands, control, managerial support, peer support, relationships, role and change) as the original; the analyses confirmed configural and metric measurement invariance with the original scale. The internal consistency of the scales ranged from 0.82 to 0.91. Regarding criterion validity, the MSIT-D was positively correlated with emotional exhaustion and psychosomatic complaints and negatively correlated with work engagement and workability. The analyses yielded meaningful correlations between the MSIT-D dimensions and the FGBU.
Originality/value
This is the first study to develop a German version of the MSIT and confirm metric measurement invariance. This will allow a comparison of MSIT scores with related constructs between German- and English-speaking samples. As a reliable and valid instrument for assessing work-related stressors, the outcome of this study presents opportunities for developing a unified surveillance system for work-related stress at the European level.
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Sara Maia, José Pedro Teixeira Domingues, Maria Leonilde R. Rocha Varela and Luis Miguel Fonseca
The focus of this research is to investigate if user-generated content (UGC) generated in the Booking platform can support quality management improvement within the hospitality…
Abstract
Purpose
The focus of this research is to investigate if user-generated content (UGC) generated in the Booking platform can support quality management improvement within the hospitality industry by increasing customer satisfaction and eliminating defects more efficiently. Hence, it contributes to understanding how data-driven companies can rely on customer data to focus on innovation and performance improvement to meet customer requirements, eliminate defects and increase customer satisfaction.
Design/methodology/approach
Following the literature review, information was collected from the digital platform Booking, encompassing 15 hotel industry companies in Portugal Porto and Braga regions, selected due to their high number of customer reviews. This data was organized and categorized, eliminating all unnecessary information for the research and building an Excel database. The database was subsequently analysed with SPSS and Voyant software, performing statistical analysis, hypothesis testing and text-mining techniques to analyse the comments. After these analyses, applying quality tools allowed for more in-depth conclusions.
Findings
The research results highlight that customers' most relevant requirements in the Portuguese hospitality industry are breakfast, parking and a swimming pool. It was also possible to realize that the location is an attractive requirement, the bathroom is a must-be requirement and breakfast is a performance requirement. The results also allowed us to answer the most critical research question: “Is user-generated content a valuable aid to quality?” the answer is yes since it was possible to use the data to find improvements and faults/failures in the services.
Originality/value
The results of this study represent an essential step towards a complete understanding of how to take advantage of UGC within the hospitality industry by establishing a solid base of techniques, methods and quality tools for UGC analysis that can be applied in future research on different industry sectors.
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