Analysis of Barriers to Green Data Centers Implementation in Malaysia, using Interpretive Structural Modelling (ISM)

The data center market is expected to grow at 7% during 2022- 2027 and the market size is to reach RM2.0 billion in 2027. The high impact of ICT contributes to high energy consumption, which will impact the environment and greenhouse gas emissions. To reduce energy consumption is to introduce a green data centre. Implementing a green data center involves the introduction of energy-efficient measures for the data center. This will include using energy-efficient ICT equipment and energy-efficient facilities equipment, especially the HVAC system. The successful introduction of the green data center involves new technologies in which there will be barriers that need to be addressed. Based on the study, green awareness and the benefit of switching to green data centers is essential for green data center initiatives in Malaysia. &nbsp

End-of-life vehicle (ELV) recycling management: improving performance using an ISM approach

With booming of the automobile industry, China has become the country with increasing car ownership all over the world. However, the end-of-life vehicle (ELV) recycling industry is at infancy, and there is little systematic review on ELV recycling management, as well as low adoption amongst domestic automobile industry. This study presents a literature review and an interpretive structural modeling (ISM) approach is employed to identify the drivers towards Chinese ELV recycling business from government, recycling organizations and consumer’s perspectives, so as to improve the sustainability of automobile supply chain by providing some strategic insights. The results derived from the ISM analysis manifest that regulations on auto-factory, disassembly technique, and value mining of recycling business are the essential ingredients. It is most effective and efficient to promote ELV recycling business by improving these attributes, also the driving and dependence power analysis are deemed to provide guidance on performance improvement of ELV recycling in the Chinese market

THE INNOVATION MANAGEMENT PROCESS: Strategic Planning

We define and establish the concepts of Strategic Operations Management and define theStrategy Formulation Process in terms of Position Strategy, Competitive Strategy and Planning and Strategy Formulation. Strategic Business Areas (SBAs) and the Technology Innovation Process with the SBA Mix will be shown to be critical for a Strategic Analysis. We develop the Elements, the Tasks, the Continuous Functions, the Sequential Functions and the Activities, as a formal establishment of a General Process of Management. We conclude discussing some issues related to marketing

IDENTIFYING AND MODELING BARRIERS TO COLLABORATION AMONG AUTO-PARTS MANUFACTURING SMEs

This research aims to identify major barriers impactingcollaboration and enhancing the understanding of these barriersamong small and medium sized enterprises (SMEs) operating in theauto parts manufacturing sector of Pakistan. A mathematical basedqualitative methodology known as interpretive structural modeling(ISM) approach is applied to diagnose foremost barriers and todevelop a hierarchical model showing mutual relationships amongthem. Seven barriers have been identified with the help of literatureand experts’ opinion. Classification of barriers has also been carriedout according to their driving and dependence powers

Interrelationship of Millennial Generation Leadership Style Indicators at PLN Central Java & DIY Distribution Main Unit Using Interpretive Structural Modeling (ISM) Approach

Manager at PT. PLN Persero has an important role in balancing internal relations with employees and external parties such as stakeholders. PT. PLN (Persero) Distribution Central Java and Yogyakarta D.I consists of a Unit Pelaksana Pelayanan Pelanggan (UP3) and Unit Layanan Pelanggan (ULP), ULP is directly related to the community and stakeholders. ULP Managers consists of Millennial Generation is 87% and Generation X 13%. The generation gap between Generation X and Generation Y (millennials) caused by the 7 years vacuum of recruitment, it causes of communication problems and Generation Y rapid adaptation to become young managers. Indicators identification are needed related to Generation Y's leadership style so that young managers are better prepared. Identification of the relationship between indicators is carried out using the Interpretive Structural Modeling (ISM) method and then classifying indicators using the Multiplication Applied to a Classification (MICMAC) method. There are 7 indicators obtained from ISM: M1 (Communication Method), M2 (Media Communication), M3 (Managing Team Involvement), M4 (Resolving Internal Conflicts), M5 (Risk Management), M6 (Responding to Change), M7 (Managing Stakeholder). MICMAC analysis results are M7 in the Dependent Indicators Cluster, the other indicators from M1, M2, M3, M4, M5, M6 are in the Linkage Indicators Cluster

Modeling and analysing the barriers to the acceptance of energy-efficient appliances using an ISM-DEMATEL approach

Electricity savings from energy-efficient appliances (EEAs) may have a significant impact on reducing global warming. There are several barriers confronted by EEAs, which have lowered their acceptance rate. The current study identifies and highlights key barriers to strengthening domestic sector adoption of EEAs in developing countries. In the current study, thirteen barriers were discovered by an indepth literature review and the judgement of experts as well. Further, integrated “Interpretive Structural Modeling” (ISM) and “Decision Making Trial and Evaluation Laboratory” (DEMATEL) approaches are utilized to evaluate barriers. The ISM technique is implemented to categorize barriers into distinct hierarchy levels, and “Cross-Impact Matrix Multiplication Applied to Classification” (MICMAC) analysis to divide barriers among four clusters “independent, linkage, dependent, and autonomous”. Moreover, the DEMATEL methodology is applied to classify the barriers among cause and effect clusters. The integrated ISM and DEMATEL approach suggests that the topmost influencing barriers to the acceptance of EEAs are the lack of Government policies and initiatives, lack of attractive loan financing, and subsidized energy prices. This study would help researchers, regulators, producers, policymakers, and consumers to comprehend the need for additional developments and understand that the adoption of EEAs is a current need. Overall, the results of this study expedite stakeholders with the key barriers that may assist to enhance the acceptance of EEAs within the domestic sector. An extensive literature survey showed a dearth of studies for the identification, modeling, and analysis of barriers collectively. Therefore, the current work utilized the ISM and DEMATEL approaches to fill the gap and to provide more comprehensive knowledge on barriers related to the acceptance of EEA

Determining Interconnectedness of Barriers to Interface Management in Large Construction Projects

This study aims to identify the crucial barriers to interface management and understand the interdependencies in Large Infrastructure Construction Projects (LICP). Three-pronged sequential explanatory mixed methods research is adopted comprising a structured survey of experts (n=102) and semi-structured interviews (n=13). Subsequently, interpretive structural modelling (ISM) integrated with fuzzy protocol is used to analyse pairwise interrelationships among these factors. A ‘Multi-layered IM barrier’ model is developed with ‘Process related issues,’ 'Misaligned incentives among project stakeholders' and 'Frequent Change Orders' as the manifested barriers. On the other hand, this study also prioritized the barriers and classified them as driving, linking, and independent. The outcome of this study presents the interdependence of barriers and classification of barriers, focusing on proactive action on driving barriers, which is crucial to the knowledge of interface management. The impact position of LICP with the identified project issues can be compared against ‘Multi-layered IM barriers’ and can help project teams better strategize IM by focusing on essential barriers. In addition, such exercises can improve the coordination among participants in construction projects. Using a structured approach to identifying interdependencies among barriers to IM is a significant original contribution by the study

A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach

E-commerce start-ups have ventured into emerging economies and are growing at a significantly faster pace. Big data has acted like a catalyst in their growth story. Big data analytics (BDA) has attracted e-commerce firms to invest in the tools and gain cutting edge over their competitors. The process of adoption of these BDA tools by e-commerce start-ups has been an area of interest as successful adoption would lead to better results. The present study aims to develop an interpretive structural model (ISM) which would act as a framework for efficient implementation of BDA. The study uses hybrid multi criteria decision making processes to develop the framework and test the same using a real-life case study. Systematic review of literature and discussion with experts resulted in exploring 11 enablers of adoption of BDA tools. Primary data collection was done from industry experts to develop an ISM framework and fuzzy MICMAC analysis is used to categorize the enablers of the adoption process. The framework is then tested by using a case study. Thematic clustering is performed to develop a simple ISM framework followed by fuzzy analytical network process (ANP) to discuss the association and ranking of enablers. The results indicate that access to relevant data forms the base of the framework and would act as the strongest enabler in the adoption process while the company rates technical skillset of employees as the most important enabler. It was also found that there is a positive correlation between the ranking of enablers emerging out of ISM and ANP. The framework helps in simplifying the strategies any e-commerce company would follow to adopt BDA in future. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature

Barriers to adoption of industry 4.0 and sustainability: a case study with SMEs

The concepts of sustainable supply chains and Industry 4.0 are progressively getting attention in different domains. Companies have started developing and implementing these practices in their business models. However, several challenges influence the adoption of sustainability and Industry 4.0 (I4.0) in small and medium-sized enterprises (SMEs). This study aims (i) to identify the adoption barriers of sustainability and I4.0 and (ii) establish the interrelationship among these barriers for SMEs. An extensive literature search supported by interviews with supply chain practitioners from three SMEs identified 12 critical barriers to adoption. The barriers are then ranked using “Interpretive Structural Modeling.” The results suggest that the “lack of resources” and the “lack of employee’s competence/experts” are the most influencing barriers. Changing government regulations on the allocation of capital and financial incentives for SMEs to encourage training and skills development programs could promote sustainable supply chains and practices. The study also reflects short-, medium- and long- term planning strategies for supply chain practitioners for adoption of sustainability and I4.0 in SMEs