Assessment of the Endorsers of e-Business Practices for Food Supply Chain Performance System

Globalisation and changing lifestyle of the people has escalated the demand for the more product customisation, taste preferences and awareness about the usage of quality food commodities. Recent developments in the field of information technology and its integration with the business practices has emerged as a new term named ‘e-business’ (EB). Increasing consumer base of the food supply chains (FSC), has escalated the demand of technological and operation advancements by mediating ‘EB’ activities. Such, practices become extensively crucial when the world is suffering from the pandemic of COVID-19, leading to distressing of FSC linkages causing frequent market closures. To tackle the same presented work, explores the various endorsers (EDR) of the ‘EB’ in FSC, which are contemplated by hybrid combination of multi-criteria decision making techniques. Outcomes of the present work aids managers to formulate the decision policies and develop a robust framework in the direction to cling the ‘EB’ practices with FSC.

Impact of metric-alignment on supply chain performance: a behavioral study

PurposePrevious research has shown that firms are struggling to incorporate collaboration among supply chain partners. This paper presents a new approach to incorporate collaboration using metric-alignment. The analysis provides key insights regarding the usefulness of this approach to synchronize decision-making that leads to reduced bullwhip effect, less backordering and lower supply chain costs.Design/methodology/approachThis research is based on a large-scale behavioral study comprising 556 participants in multi-echelon supply chain games. Supply chain decisions from these experiments are evaluated to study the impact of metric-alignment on managerial decision-making and the corresponding effects on the overall supply chain performance.FindingsResults show that the metric-alignment approach offers an informal and self-enforced governance mechanism that changes managerial decision-making behaviors and improves supply chain performance. Results also show this approach to yield operational and financial benefits for all supply chain partners in the form of reduced bullwhip effect, less backordering and lower supply chain costs.Originality/valueThis is the first behavioral study of its kind that evaluates a new approach to incorporate collaboration in supply chains using metric-alignment. This approach avoids the shortcomings of current industry practices of using monetary penalties, such as on-time in-full (OTIF) mandates in supply contracts. The study shows that metric-alignment approach can improve overall supply chain performance while offering mutually beneficial rewards for all supply chain partners.

Supply chain performance measurement through collaborative effectiveness: an Asia–Pacific perspective

PurposeThe main purpose of this research is to investigate the supply chain performance through collaborative effectiveness, from the organisations of Asia–Pacific region perspective, compared with that of global organisations based on collaborative supply chain practices.Design/methodology/approachThe survey research methodology was adopted, involving the collection of survey data from 223 participants across 10 different industries and 6 geographic regions. Data included 103 organisations in the Asia–Pacific region including Australia, India, China, Malaysia, Singapore, Indonesia and Thailand.FindingsFrom a collaborative effectiveness perspective, the supply chain performance of Asia–Pacific organisations is different when compared with that of global organisations. It was also found that global organisations are driven by sales performance, while Asia–Pacific organisations are focussing mainly on the cost in terms of the number of employees, and therefore productivity. The metal industry stands out to be the best performing industry from a collaborative effectiveness perspective in the Asia–Pacific region and globally.Practical implicationsThe research findings can be used as a guide by industry practitioners to develop benchmarks for collaborative supply chain practices by industry and region of operations. This research has been limited to a few industries such as manufacturing, logistics, service and retail industries.Originality/valueThis research generates new knowledge on the relationship between the collaborative effectiveness and supply chain performance, from the perspectives of both Asia–Pacific and global organisations, based on a collaborative effectiveness framework. The study proposes an innovative approach of assessing supply chain performance through collaborative effectiveness from the perspectives of geographical boundaries and industry types.

Analysis of the Economic Sustainability of the Supply Chain Sector by Applying the Altman Z-Score Predictor

This paper fills the gap in the financial perspective of supply chain performance measurement, related to the lack of a bankruptcy probability indicator, and proposes a predictor which is the eighth-model of the Altman Z-Score Logistic Regression. Furthermore, a bankruptcy probability ranking is established for the companies’ supply chains, according to the industry to which they belong. Moreover, the values are set to establish three categories of companies according to predictor. The probability of bankruptcy is analysed and studied for the supply chain of different industries. The building industry is revealed to have the highest probability of bankruptcy.

Impact of Green Supply Chain on Supply Chain Performance

The purpose of this paper is empirically assessment of the impact of the green supply chain on supply chain performance in terms of social, operational, and environmental, for Jordanian chemical industries. In this paper, the proposed model was developed based on literature review and previous exploratory studies related to GSC and different kinds of SC performance. Tested on sample equal 150 managers of Jordanian detergent manufacturing factories and the returned ones that applicable for analysis were 120 questionnaires, which analyzed using AMOS 27. The results were as follows: there is no impact of green purchase, green production, and green distribution on supply chain performance. While there is an impact of green supply and green design on SC performance, taking into consideration the community and region of study.

Evaluation of Hospital Supply Chain Performance During the COVID-19 Pandemic

The pandemic has an impact on almost all sectors of people's lives, in the economic, political, and socio-cultural sectors. The government has implemented large-scale social restrictions (PSBB) as an effort to stop the spread of the COVID-19 virus. With the PSBB, it causes disruption to the hospital supply chain management. As a step to anticipate the hospital's impact on the PSBB, the hospital needs to evaluate the performance of supply chain management. The purpose of this chapter is to describe the performance evaluation of hospital supply chain management using a balanced scorecard approach. A new finding from this study is to measure the performance of hospitals experiencing various disruptions in their supply chain management caused by the COVID-19 pandemic with a balanced scorecard. The author concludes that measurements with the balanced scorecard approach can provide information about the performance of hospital supply chain management broadly in areas experiencing disruption due to the COVID-19 pandemic.

Railway supply chain excellence through the mediator role of business intelligence: Knowledge management approach towards information system

The features of a holistic view in an organization create the data value of the Business Intelligence (BI) and Knowledge Management (KM) in viewing the big picture of organizational performance diagnostics framework. This research focuses on the specific features of railway supply chain performance in viewing the decision-making process and creating better knowledge formation. The intention of the study is to structure supplier performance using BI-KM framework development to determine holistic perspective factors. The outcomes indicate that BI and KM significantly increased the railway supply chain and significantly increased the information system. This BI-KM framework relates the current analytic characteristics in designing the railway supply chain towards information system in determining the strategic theme of the decision-making process of the decision support system together with system features, characteristics of data, the content of the themes, and the effect of the decision-making process and for executive strategic performance diagnostics tool that provides effective strategic decision making in supply chain performance. The quantitative research method uses SmartPLS software version 3.2.8 for empirical analysis through distributing survey questionnaires to 320 railway suppliers in Malaysia. Using a model-driven development framework, to measure the implementation success of the decision support system, the study is conducted in the railway supplier focusing on strategic management that helps to make the decision and facilitate the organizational success.