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The purpose of this paper is to propose a three-tier assessment model (TAM), aiming to identify and evaluate the competitiveness level of companies. The existing problem is that companies find it difficult to choose a proper model which can be deployed to benchmark with competitors in terms of their competiveness level in the marketplace. Most of the available models are not appropriate or easy to use. The proposed assessment model is able to provide an insight for better planning and preparation so as to gain a better chance of success comparing with their competitors. Most importantly, the proposal model adopts a pragmatic approach and can be implemented without going through tedious mathematical calculations and analysis.

TAM embraces three different approaches deployed in various stages of the application process. The first stage is to identify the relevant criteria using hierarchical holographic modeling and the second stage is to assess the associated weightings of these criteria used to rate the potential competitiveness of related companies. The technique used in stage two is known as fuzzy analytic hierarchy process (FAHP) which is a combination of two well-established methods including fuzzy logic and analytical hierarchical programming. In stage three, a technique known as technique for order preference by similarity to the ideal solution (TOPSIS) is adopted to benchmark the level of competitiveness covering several companies in the same industry.

In this paper, a case study is conducted in order to validate the feasibility and practicality of the proposed model. Results indicate that TAM can be easily applied in various industrial settings by practitioners in the field for supporting operations management practices.

Significant amount of work is needed to ensure that the proposed model can be practically deployed in real industrial settings.

This proposed model is able to capitalize on the benefits of the HMM, FAHP and TOPSIS methods and offset their deficiencies. Most importantly, it can be applied to various industries without complex modification.

This paper suggests a hybrid model to assess competitiveness level embracing three different techniques with the unique feature which is able to provide an insight for better planning and preparation in order to excel competitors. Companies may be able to follow the procedures and steps suggested in the paper to implement the model which is proven to be pragmatic and can be applied in real situations.

This paper conducts a Systematic Literature Review (SLR) of Machine Learning (ML) in Supply Chain Management through bibliometric and network analysis, the authors are able to grasp key features of the contemporary literature. The study makes use of state-of-the-art analytical framework based on a unified approach to reveal insights from the present body of knowledge and the potentials for future research developments.

Unlike standard literature reviews, in SLR, a structured approach is followed. The approach enables utilizing contemporary tools and software packages such as R-package “bibliometrix” and Gephi for exploratory and visual analytics. A number of clustering methods are employed to form clusters. Later, multivariate analysis methodologies are adopted to determine the dominant clusters for the influential co-cited references.

Using contemporary tools from Bibliometric Analysis (BA), the authors identify in an exploratory analysis, the influential authors, sources, regions, affiliations and papers. In addition, the use of network analysis tools reveals research clusters, topological analysis, key research topics, interrelation and authors’ collaboration along with their patterns. Finally, the optimum number of clusters computed for cluster analysis is decided using a systematic procedure based on multivariate analysis such as k-means and factor analysis.

Modern-day supply chains increasingly depend on developing superior insights from large amounts of data available from diverse sources in unstructured and semi-structured formats. In order to maintain a competitive edge, the supply chains need to perform speedy analysis of big data using efficient tools that provide real-time decision-making insights. Such an analysis necessitates automated processing using intelligent ML algorithms. Through a BA followed by a detailed data visualization in a network analysis enabled grasping key features of the contemporary literature. The analysis is based on 155 documents from the period 2008 to 2018 selected using a systematic selection procedure.

Knowledge management (KM) is widely adopted by organisations to improve their performance and make informed decisions. Prior research has confirmed that Information Systems (IS) play a critical role in effective KM. The purpose of this study is to examine the existing literature on the role of cloud-based KM systems (C-KMS) in small- and medium-sized enterprise (SMEs) by understanding its impact on the five KM processes: knowledge acquisition, creation, storage, sharing and usage.

This study conducted a systematic literature review by examining 133 journal articles and 24 conference papers from 2010 to 2021 on the role of cloud computing in KM for SMEs.

This study revealed that there are numerous empirical analyses on KM processes and tools in SMEs; however, only few studies demonstrate how the whole gamut of KM processes can adopt cloud computing in SMEs. Therefore, SMEs are ineffective at KM with limited IS intervention. This paper offers a proposition on how C-KMS can impact all five KM process, thereby increasing its effectiveness of KM in SMEs. This study analysed the benefits of C-KMS that brings to SMEs in terms of availability, scalability, reliability, security and cost.

This systematic review is restricted to certain databases (ScienceDirect, Sage journals, Scopus and Emerald Insight) and specific IS conference proceedings to source articles. The selection of search criteria and time frame is based on this study’s assessment and choice. This study adds value to our understanding of the role of KM in SMEs, and it reinforces the role of cloud computing in effectively managing knowledge in SMEs. The proposal of C-KMS for the enhancement of KM has significant implications for SMEs to effectively use knowledge for their survival and superior performance.

This study suggests three practical implications. First, adopting and using C-KMS provide a strong foundation to manage knowledge for SMEs in a cost-effective way. Second, C-KMS improves the effectiveness of KM by increasing availability of knowledge artifacts, which in turn aids SMEs’ growth. Third, C-KMS is useful to codify SME’s knowledge, and accordingly supports employees to acquire and use knowledge based on their requirements.

This study discussed C-KMS with contemporary social issues, such as the COVID-19 pandemic challenges for SMEs and demonstrated how C-KMS can support SMEs to handle such crises by managing knowledge effectively.

This research highlights the importance of the implementation of a C-KMS for the enhancement of KM in SMEs. The review provides empirical evidence on the challenges faced by SMEs regarding KM, as they often only have enough resources to focus on a single KM process, predominantly knowledge sharing. Consequently, a holistic approach to KM cannot be realised by SMEs. In this context, the findings of this study offer theoretical and practical insights into the role of cloud computing by addressing the challenges of KM in SMEs.

This study aims to provide a systematic review about the Internet of Things (IoT) and its impacts on happiness. It intends to serve as a platform for further research as it is sparse in in-depth analysis.

This systematic review initially observed 2,501 literary articles through the ScienceDirect and WorldCat search engines before narrowing it down to 72 articles based on subject matter relevance in the abstract and keywords. Accounting for duplicates between search engines, the count was reduced to 66 articles. To finally narrow down all the literature used in this systematic review, 66 articles were given a critical readthrough. The count was finally reduced to 53 total articles used in this systematic review.

This paper necessitates the claim that IoT will likely impact many aspects of our everyday lives. Through the literature observed, it was found that IoT will have some significant and positive impacts on people's welfare and lives. The unprecedented nature of IoTs impacts on society should warrant further research moving forward.

While the literature presented in this systematic review shows that IoT can positively impact the perceived or explicit happiness of people, the amount of literature found to supplement this argument is still on the lower end. They also necessitate the need for both greater depth and variety in this field of research.

Since technology is already a pervasive element of most people’s contemporary lives, it stands to reason that the most important factors to consider will be in how we might benefit from IoT or, more notably, how IoT can enhance our levels of happiness. A significant implication is its ability to reduce the gap in happiness levels between urban and rural areas.

Currently, the literature directly tackling the quantification of IoTs perceived influence on happiness has yet to be truly discussed broadly. This systematic review serves as a starting point for further discussion in the subject matter. In addition, this paper may lead to a better understanding of the IoT technology and how we can best advance and adapt it to the benefits of the society.

The purpose of this study is to examine the applicability of Course Experience Questionnaire (CEQ) in a Malaysian university context.

The CEQ was translated into Malay language using rigorous cross-cultural adaptation procedures. The Malay version CEQ was administered to 190 undergraduate students in one Malaysian public university. Statistical analyses were used to examine the reliability and factor structures of the Malay version CEQ scales using IBM SPSS version 20.0.

Findings raised serious questions about the reliability and construct validity of the CEQ for a Malaysian university sample. Findings revealed that only two out of five scales of CEQ showed satisfactory level of reliability. Six items failed to load on the intended scales.

The sample size is small with 190 university students and covered respondents from one local university, while the other 17 local universities were not included due to geographical distance.

The findings are particularly important for higher education policymakers to optimise and allocate the resources to improve university quality teaching. More attention should be paid toward how to furnish the university teaching staff to provide a high level of teaching quality that contributes to students’ generic skills for their employment in future. Researchers could extend the applicability of the Malay version CEQ in primary and secondary school context.

The vast majority of CEQ-related research has been undertaken in the Western context, thus raising the question of the applicability of CEQ for a Malaysian university context. The fall in the Times Higher Education and QS World University rankings as well as the limited research in assessment-related higher education has also accelerated the needs to examine the applicability of CEQ23 in Malaysian university context. This study has provided fundamental cross-validation empirical evidence to propose improvement in future studies.

Emerging as a black swan event that stifled the global economy, COVID-19 is the first social media (SM) pandemic. In an unsocial age due to social distancing, SM relevance is intuitively magnified during a pandemic. This study aims to investigate the direct and moderating impact of Twitter on the Australian stock market during the COVID-19 info-pandemic.

As a natural experiment, a time-series regression measures the effect of the COVID-19 virus, proxied by the active cases and the marginal impact of SM user attention and sentiment on the Australian stock market.

Results show that SM user attention and sentiment to COVID-19 related fear topics are significant in explaining market returns and in predicting their volatility. It demonstrates that SM plays a role between COVID-19 and Australian stock market performance by amplifying the pandemic impact.

The study goes beyond a purely empirical investigation of the catalyst (i.e. the pandemic), thus contributing to current theoretical debates on the impact of SM on investor behaviour.

Policymakers and market participants could benefit from the empirical findings of this research in the case of analogous epidemics.

Investigating the beginning of project management (app. 30 BC) with a focus on business models similar to the “PDCA” cycle, the purpose of this paper is to find an approach which could be used as a new standard procedure for the eradication of projects in Lean project management.

Based on literature research of models similar to Walter A. Shehwart’s three-step and Edward W. Deming’s four-step (PDC(A)) wheel, the investigated models are interconnected to form a new concept which represents an innovative cycle logic proposed to be applied in Lean project management. This new cycle logic is rolled out on three different levels, which are transferred from the Lean management hoshin kanri model to Lean project management. In addition to literature research, semi-structured interviews were performed to get an indication as to the integration of Lean management (with a focus on PDCA) in project management today.

It was found that the “Check Plan Do” cycle is a Lean variant of the “Plan Do Check Act” model that is already used in consulting projects in practice, partially appears in project management standards, in governance models of ambulance, fire services, human aid and military forces and in quality management models of Six Sigma, design for Six Sigma and an excellence model of the European Foundation for Quality Management. To ensure continuous improvement it was found that the new CPD cycle can be used on different “planning” levels in analogy to the hoshin kanri logic.

To the best of the author’s knowledge, a discussion as to how the PDCA cycle can be adapted to Lean project management, considering the implication of business models similar to the PDCA wheel, has not yet been conducted within the field of project management.

This paper aims to explore green technology (GT) transfer through the perceptions of both business managers and technology specialists, who have been identified as the foremost practitioners of this practice.

A total of 22 semi-structured interviews were conducted with business leaders and technology scientists. The interviewees were asked to share their views on the motivations for importing GT; their familiarity with, knowledge of and understanding of GT transfer and the current GT performance in their organization; the key strengths of GT transfer and its limitations; the barriers to the use of GT; and their usefulness. The theoretical framework of actors’ resistance to institutional demands of Oliver (1991) is used as a theoretical lens to investigate the perceptions of the interviewees.

This study suggests that despite some benefits of the adoption of GT, such as increasing competitive advantage and improving green operations, there are huge concerns over the use and importation of GT. More specifically, almost all the technicians were concerned about the technical risks resulting from the lack of operational tests, the old technologies and the lack of knowledge transfer. Meanwhile, the paucity of specific regulations, guidance and environmental standards has been reported by business managers as one of the primary constraints for this movement.

This research contributes to the emerging literature on GT transfers in the developing world. It proves that the lack of communication and the scarcity of a true champion for GT efforts have reduced the efficiency of GT transfer.

By shedding light on the intricate nature of the relationships arising from GT adoption in organizations, this paper aims to support business leaders and standard setters in making a decision regarding the implementation and promotion of GT transfer, especially in the context of developing countries.

To the best of the authors’ knowledge, this is one of the first studies to explore eco-friendly technology transfers in a developing country from the micro-level perspective of both business and technology practitioners of GT-recipient organizations.

‘Wine; for some it is a delicate craft, to be fine tuned and practised until it is perfect, for others it is an art form, to be contemplated and discussed until it is understood. For yet others it is just another agricultural product to be bought and sold. No matter what one's feeling about the subject of wine, all agree: the key is education (Reiss, 1999).’ To explore the ideal setting of education in wine and more specifically education in wine management a research programme was undertaken to supply an empirical foundation towards content and methods which could be employed in Higher Education. In the research a qualitative approach was adopted in which 24 F&B Managers of four and five star hotels were interviewed. Information was gathered about the perception of wine, the relationship between wine and culture and wine and health as they were perceived by the managers. The economical value of wine as part of the total offer of the hotel was calculated. Some of the methods used in hotels to train staff in wine management were described. The managers were also asked for their opinion about the level of knowledge on wines they find graduates to have in The Netherlands. Finally, ratings to the importance of different subjects within wine management were given by the respondents which indicates where the emphasis of wine management education should be in the future.

THE Deutsche Luftfahrtschau, or as it is more generally known, the Hanover Air Show, held every two years by the Bundesverband der Deutschen Luft‐ und Raumfahrtindustrie e.V. (Federal Association of the German Air and Spacecraft Industries). This year's Show will be held from April 26 to May 5 at the Hanover Langenhagen Airport and will be held at the same time as the famous Hanover Fair.