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This paper aims to propose a combined methodology to help decision makers in evaluating and selecting the most effective part feeding system.

As a first step of the methodology, a hierarchical clustering analysis is applied to design a kitting or hybrid feeding system. Second, activity-based costing methodology is applied to determine which system is better according to their costs. Besides, sensitivity analysis is implemented to observe the behavior of the system in case of the takt time changes.

Using kitting systems purely can lead to problems because of the big and expensive parts in the mixed-model assembly systems. Therefore, the hybrid feeding policy can provide better solutions for such systems.

A case study is conducted in a company and the most produced product of the company is considered to design the part feeding system. Results indicated that transportation cost has a large proportion on the total cost and the hybrid feeding policy may be a good solution to reduce this cost.

The paper includes implications for the design of hybrid feeding systems in lean-based assembly lines. The proposed methodology may be a practical tool for decision makers to design and decide on the part feeding policy.

Kitting design has not been studied yet to the best of the authors’ knowledge. Besides, there is no certain decision methodology indicating which system is better. In this study, different methods are combined as a new methodology with the purpose of industrial decision-making.

During the twentieth century, much of the discussion about managerial behaviour centred on the difference between management functions and manager roles, with much of the debate centring on “Who is right, Mintzberg or Fayol?” Reports on a study, involving 523 Australian managers, which suggests both are right – Fayol gave us management as we would like it to be and Mintzberg gave us management as it is. In doing so, promulgates a set of new constructions of managerial behaviour – preferred managerial style (management as we would like it to be) and enacted managerial style (management as it is). Taken together, we now have available to us a more integrated theoretical base for research on management and managerial behaviour, and a measure that can be used to progress the required research.

Class-based storage has been studied extensively and proved to be an efficient storage policy. However, few literature addressed how to cluster stuck items for class-based storage. The purpose of this paper is to develop a constrained clustering method integrated with principal component analysis (PCA) to meet the need of clustering stored items with the consideration of practical storage constraints.

In order to consider item characteristic and the associated storage restrictions, the must-link and cannot-link constraints were constructed to meet the storage requirement. The cube-per-order index (COI) which has been used for location assignment in class-based warehouse was analyzed by PCA. The proposed constrained clustering method utilizes the principal component loadings as item sub-group features to identify COI distribution of item sub-groups. The clustering results are then used for allocating storage by using the heuristic assignment model based on COI.

The clustering result showed that the proposed method was able to provide better compactness among item clusters. The simulated result also shows the new location assignment by the proposed method was able to improve the retrieval efficiency by 33 percent.

While number of items in warehouse is tremendously large, the human intervention on revealing storage constraints is going to be impossible. The developed method can be easily fit in to solve the problem no matter what the size of the data is.

The case study demonstrated an example of practical location assignment problem with constraints. This paper also sheds a light on developing a data clustering method which can be directly applied on solving the practical data analysis issues.

The main objective of this paper is to shed light on the confusion of terminologies related to open innovation through the development of an open innovation taxonomy. By analyzing published case studies using numerical taxonomy methods, it proposes a taxonomic classification of open innovation.

Earlier work on firm collaboration and concepts related to open innovation in order to understand the main motivations, and conditions behind open innovation‐like strategies is first to be reviewed in this paper. It then proceeds to collect and systematically analyze 20 published case studies, and using numerical taxonomy methods it produces a taxonomic classification of open innovation. As a first approach to taxonomy on open innovation strategies, the UPGMA methodology used seems very promising. The taxonomy of open innovation developed here can also be used as a decision‐making tool through the comparison of open innovation strategies inherent in the taxonomy.

Through the numerical taxonomy analysis the paper has been able to objectively create groups of similar cases, and strategies therein. This paper is able to draw some interesting conclusions by identifying two general strategies of collaboration ‐ a free revealing “democratic” strategy and a formal collaboration strategy. The first involves a proliferation of partners whose technical and creative skills are specific to the industry and the source of knowledge, and where the degree of interaction plays an important role. The second broad strategy of cooperation is linked to more formal collaboration, generally firm‐firm collaboration; in this group a large focus on markets features, especially technological intensity, was found.

This paper adds objectivity to the research of different open innovation strategies by using a method developed in the natural sciences. Based on a systematic review of literature, the paper was able to identify key characters describing features and come up with a taxonomy of open innovation, which goes a significant way towards making sense of the plethora of terminology related to open innovation. Key features of different open innovation strategies are also revealed.

As occupational applications of repertory grid technique continue to grow, there is a need for a method of analysis which can be carried out as conveniently by hand as by computer, particularly in the field of human resource development. This article describes such a method, a cluster analysis called “Focus”, and outlines some applications in personnel and training work by means of an annotated algorithm.

The purpose of this paper is to understand the impact of digital technologies adoption on the forms of organization of large architecture and engineering (A/E) firms. Network theory has attracted scholarly and managerial attention, particularly from the perspective of the changes of project organization. However, little research focuses on network theory as a lens for understanding and managing the new forms of firms’ organization. Additionally, conventional organizational analyses are hampered by the lack of methods for understanding the changes in roles and relationships due to the adoption of digital technologies and examining their impact on organizational structures.

To address this gap, this research adopted a mixed-method case-study approach. This approach combined interviews, regular check-ins, and document analysis with data mining and social network analysis (SNA) to capture the changes of intra-organizational roles and relationships and for understanding their impact on the firm’s organizational structure. Using the data gathered, the authors created a dendrogram that shows the formal organizational structure, a sociogram that displays the informal organizational structure and a network map that visualizes the interplay between the two structures.

From this analysis, the authors identified four main findings: informal roles – as go-to people for advice and information about digital technologies – play within A/E firms facing digital transformation; such go-to people operate through informal networked relationships and beyond their formal roles; most of these relationships do not overlap with the formal reporting relationships; the combination of both these roles and relationships create an informal social network. The authors also show how managers can use SNA to understand the changes in roles and relationships due to the adoption of digital technologies and to diagnose their impact on organizational structures.

This research contributes to the literature of organizational design and change management from a network perspective in the context of the digital transformation of large A/E firms. It provides a systematic data-driven approach to understanding the changes of intra-organizational roles and relationships within A/E firms facing digital transformation and to diagnosing the impact of these changes on firms’ organizational structures.

This paper aims to examine the trends in research studies in the past decade which address the use and analysis of propaganda in social media using natural language processing. The purpose of this study is to conduct a comprehensive bibliometric review of studies focusing on the use, identification and analysis of propaganda in social media.

This work investigates and examines the research papers acquired from the Scopus database which has huge number of peer reviewed literature and also provides interfaces to access required for bibliometric study. This paper has covered subject papers from 2010 to early 2020 and using tools such as VOSviewer and Biblioshiny.

This bibliometric survey shows that propaganda in social media is more studied in the area of social sciences, and the field of computer science is catching up. The evolution of research for propaganda in social media shows positive trends. This subject is primarily rooted in the social sciences. Also this subject has shown a recent shift in the area of computer science. The keyword analysis shows that the propaganda in social media is being studied in conjunction with issues such as fake news, political astroturfing, terrorism and radicalization.

The lack of highly cited papers and co-citation analysis implies intermittent contributions by the researchers. Propaganda in social media is becoming a global phenomenon, and ill effects of this are evident in developing countries as well. This denotes a great deal of scope of work for researchers in other countries focusing on their territorial issues. This study was conducted in the confines of data captured from the Scopus database. Hence, it should be noted that some vital publications in recent times could not be included in this study.

The uniqueness of this work is that a thorough bibliometric analysis of the topic is demonstrated using several forms such as mind map, co-occurrence, co-citations, Sankey plot and topic dendrograms by using bibliometric tools such as VOSviewer and Biblioshiny.

The purpose of this paper is to focus on a thorough comparison of the broader specialties and subspecialties provided by Greek higher technological education, regarding the employment status and the vocational prospects of the corresponding graduates, and aims to identify and analyze the relevant existing differences.

Original empirical data were collected from 5,183 graduates of Technological Educational Institutes of higher education through a national survey using telephone interviews and a structured questionnaire. The stratified sample consisted of graduates originating from all nine different broader specialties (faculties) and 45 subspecialties (departments). Descriptive, bivariate and multivariate statistical analysis was used for the elaboration of the collected information.

The results showed that there are significant differences among the graduates of different specialties regarding some employment characteristics, such as professional status, type of employment, relevance between present work and Bachelor studies, and satisfaction from employment and wages. Additionally, the results identify distinguished clusters among certain broader specialties and subspecialties regarding graduates’ employment status and characteristics.

The revealed existence of strong relationships between broader specialties/subspecialties and their graduates’ vocational prospects can offer justified advice/guidelines to secondary education graduates for applying to specialties presenting promising employment prospects.

This work, being one of the very few nation‐wide studies, reveals and highlights the most important higher education specialties regarding the vocational status and prospects of the corresponding graduates, providing a guideline for the selection of the subject of studies that leads to a more promising career.

In spite of wide civic and academic interest in obesity, there are no bibliometric records of this issue in the marketing corpus. Thus, this inquiry is conceived to address this shortcoming with a bibliometric analysis of Scopus indexed articles published on the subject.

The analysis followed a five-step science mapping approach of study design, data collection, data analysis, data visualisation and data interpretation. R programming software was used to review 88 peer reviewed journals published between 1987 and 2021.

A sizable stream of literature exploring obesity has accrued in the marketing area as authors have drawn parallels between the influence of persuasive communication and advertising on human wellbeing and child health. The United States of America is found to be by far the country with the highest number of publications on obesity, followed by Australia and the United Kingdom. The topic dendrogram indicates two strands of obesity discourse: (1) social and policy intervention opportunities and (2) the effects on social groups in the population.

This review will shape future enquiries investigating obesity. Beyond the focus on children, males and females, an emerging focus on cola, ethics, food waste, milk, policy-making and students is highlighted.

This is the first bibliometric review of obesity in the marketing literature. This is especially timely for weighing up the utility of research aimed at understanding and reporting the trends, influences and role of stakeholders in addressing obesity.