Search results

Digital lean implementation can solve the dual problem of stagnating quality and rising costs in healthcare. Although technology adoption in healthcare has increased in the post-COVID world, value unlocking using technology needs a well-thought-out approach to achieve success. This paper provides a prescriptive framework for successfully implementing digital lean in healthcare.

This study uses a mixed-method approach to achieve three research objectives. Whilst it uses a narrative review to identify the enablers, it uses qualitative thematic analysis techniques to categorise them into factors. The study utilises the delphi method for the thematic grouping of the enablers in the broader groups. The study used an advanced ordinal priority approach (OPA) to prioritise these factors. Finally, the study uses concordance analysis to assess the reliability of group decision-making.

The study found that 20 identified enablers are rooted in practice factors, followed by human resource management (HRM) factors, customer factors, leadership factors and technology factors. These results further counter the myth that technology holds the utmost significance in implementing digital lean in healthcare and found the equal importance of factors related to people, customers, leadership and best practices such as benchmarking, continuous improvement and change management.

The study is the first of its kind, providing the prescriptive framework for implementing digital lean in healthcare. The findings are useful for healthcare professionals and health policymakers.

Frugal innovation focuses on the core functionalities with the highest stakeholder benefits and directly targets user requirements. It has been widely adopted in developing countries, and extensively researched from both consumer and sustainable perspectives. However, few studies on frugal innovation consider “quality”, a seminal business management concept. This study focuses on this gap and uses a quality lens to understand frugal innovation.

This study adopts a mixed methodology. The Delphi focus group method is first applied to identify two cases of frugal innovation in the construction industry and a cross-case analysis done. Then, the analytic hierarchy process (AHP) is used to examine eight product quality dimensions to draw the final conclusions.

From Garvin’s concept of quality, frugal innovation focuses on performance and conformance. Furthermore, it prioritises a value-based approach the most.

This study examines frugal innovation from quality perspective. This opens up a new line of research which contributes to both streams. The study is based on construction which is a limitation of the study.

A quality-based frugal innovation understanding can be helpful in the conceptualisation, implementation and acceptance of the frugal innovation business model. It can provide clarity on the innovation's value proposition and also help in operationalisation of the business model.

Frugal encourages social entrepreneurs and understanding of the concept from quality perspective shall facilitate the operationalisation will become easier for them.

To the author’s knowledge, this is the first study at the interface of frugal innovation and quality management. Furthermore, the use of AHP to prioritise equality approaches and dimensions is an original contribution.

Railway transport being a “service” is provided in a space and time dimension. Providing a better quality of service requires higher inputs, so evaluating the performance without these considerations would give a biased result. The purpose of this paper is to assess the performance of the rail transport service by including the service delivery perspective of railways and look at the holistic concept of service delivery. The quality of service parameters have been chosen within the constraints imposed by availability of data and the formulated data envelopment analysis (DEA). The quality of service parameters include: punctuality; the level of consequential train accidents (safety); and the level of public complaints (customer satisfaction). It evaluates the performance of 16 zones of Indian railways (IR) on the basis of their efficiencies and identifies the exemplar zones. The results deduced from these studies can serve as performance targets in reward systems, performance scorecards, and control systems.

DEA has been used as a benchmarking tool to evaluate the relative efficiency of the 16 zones. The input parameters are working expenses, number of employees, and equated track kilometers and the output parameters are loading of revenue, punctuality, passenger traffic kilometers, consequential train accidents, and public complaints. Malmquist index has been used to determine the temporal performance of each zone.

IR can use DEA to assess the performance of various zones and for improvement monitoring in the context of being a transport service provider. Inefficient zones can identify the parameters for improvement across the zones and along the time dimension. A huge working force for all the inefficient zones indicate over deployment of resources, which can be seen at the policy level. A redundancy for equated track kilometers indicates a non-optimum use of resources. Not giving enough importance to service quality could be one of the major findings of the inefficient zones.

The scope of the quality of service variables assessed could not be enlarged in this study because of the limitation of the number of variables that can be chosen for a given number of decision-making units in the model. It is not always possible to compare each zone on an exactly equal basis as the work culture and challenges differ across zones, units, regions, and states which poses a limitation to the study.

The holistic evaluation of performance of IR by inclusion of the service parameters can have important implications for the industry. The choice, incorporation, and interpretation of the parameters of this study can be adopted for rail transportation industry. This also summarizes the essence of performance and quality of service in public rail transport sector.

The global public transport sector, and the rail mode in particular faces the challenge of identifying, and using appropriate service quality indicators and financial parameters to ascertain the efficiency and effectiveness of the transport system, rather than considering financial parameters alone. The context of this study is IR which is an engine for the continued socio-economic development of India. The overarching constraint is that the inputs are already established. Within this socio-economic contextual framework the analysis has been done to have an efficient and effective public transport system.

This is the first study which incorporates the quality of service dimensions in performance measurement and benchmarking of the railway zones that make up a national railway system which is under public domain. Each of these characteristics offers its unique challenges and dimensions which makes the problem complex.

Many commodity supply chains suffer from an unfair value distribution across the supply chain like “Coffee Paradox.” This study explores the coffee supply chain to determine how the country of origin–geographical indicator can be used as a method of fair distribution of value and provenance across the supply chain effectuated by the blockchain technology. By looking at an exemplar case study for India, this study provides insights into diverse research streams and practice.

Based on the case method, analyzing the implementation of blockchain in the coffee industry by a leading Indian software implementation of the logic, dynamics and forces for a provenance model has been devised. It further adopts a stakeholder cum institutional theory framework to understand the logical implementation of a blockchain project embedded in a territorial logic for a commodity supply chain.

This study specifically looks at coffee which is representative of a commodity supply chain. It also explores how the malaise of unfair value distribution gets addressed by bringing farmers and the consumers on a common platform facilitated by blockchain technology. This study contributes to the literature on blockchain, territory, commodity and supply chain. Using stakeholder cum institutional theory, this study helps to explore how the implementation is successful by different actors in the supply chain through collaboration.

This study provides a new stream of multi-disciplinary study at the interface of supply chain, technology, international trade and geography.

Blockchains are embedded in the supply chain, and supply chains are embedded in territories. This linkage is paramount and the ability to make these blockchain projects successful requires the deep study of the interaction of territory, technology and actors from the provenance angle. De-commodification of coffee can be actualized through blockchain.

The coffee paradox and skewed value distribution is also a social problem wherein the farmers do not get the right price of their produce and are exploited. This case also highlights how this social malaise can be addressed and rightful and equitable distribution of value happens across the value chain.

This linkage between territory, blockchain, commodity supply chain and institutions has not been discussed in the literature. Adopting the territorial design approach, this study is an attempt to stimulate inter-disciplinary conversations and thereby create a provenance framework for commodity and research questions for scholars from different disciplines and divergent disciplinary perspectives.

The South African automotive industry, which is the most significant sector in the South African economy, needs to function efficiently to compete globally. The purpose of this paper is to report on a study that investigated the challenges faced by the South African automotive component manufacturers and their suppliers and provide a structure and identify the dependencies between these challenges.

Interpretive structural modelling (ISM) was adopted to explore the supplier relationship challenges and the dynamics and interlinkages between these challenges. ISM was deemed appropriate, as it is a multi-criterion decision-making technique suited for complex problems and provides an ordered, directional framework.

The findings revealed that advanced communication, rapid change in demand and dependence on a single customer are independent problems but have a lesser feedback loop and do not create instability by ripple effect. Interdependencies, on the other hand, create lesser ripples when tackled.

Findings of this study will be able to guide all the stakeholders: the policymakers and the automotive industry players to target the driving issue which can bring efficiency in the South African automotive supply chain. If the automotive components manufacturers (ACMs) are able to have more than one customer, their reliance on one will decrease and the systems will improve which shall benefit the industry. This methodology can also be used in future for determining the roadmap for complex issues.

The framework presented in this paper provides decision makers with a realistic picture of their situation by providing insight into the interrelationships, ranking them by importance and aiding in creating a roadmap for addressing identified challenges.

Blockchain has been considered a disrupting technology that can add value in various supply chains differently. The provenance framework matches the four blockchain capabilities of traceability, certifiability, trackability and verifiability to the five generic risks, namely, the financial risk, psychological risk, social risk, physical risk and performance risk. This will help in uncording which specific risk gets mitigated by the use of blockchain in a specific supply chain.

This study illustrates four supply chains, namely, pharmaceutical industry, fast moving consumer goods industry, precious metal and automotive industry, and maps the risks associated with them to the provenance framework wherein the applicability of blockchain is mapped. Fuzzy analytical hierarchical processing (F-AHP) is used to rank the risks in the supply chain.

Blockchain capabilities can elevate the provenance knowledge leading to assurance in terms of origin, authenticity, custody and integrity to mitigate the supply chain risks. Present work highlights the thrust areas across various supply chains and identifies the risk priority tasks aligning the contextual supply chain risks. This study has covered five major risk perceptions. This study contributes to the literature on blockchain, customer perceived risk, provenance and supply chain.

This methodology can be adopted to understand and market the application of blockchain in a supply chain. It brings the marketers and marketing perspective to the supply chain. Exhaustive risk perception can be included to get more comprehensive data on mapping the risks along different supply chains. Vertical extensions of this work can be consideration of other supply chains including dairy, fruits and vegetables, electronics and component assemblies to derive the comprehensive framework for mapping risk perceptions and thereby supply chain risk mitigation through blockchain technology.

This linkage between blockchain, perceived risk, applications in the supply chain and a tool to convince the customers about the blockchain applicability has not been discussed in the literature. Adopting the multi-criteria decision-making F-AHP approach, this study attempt to rank the risks and stimulate conversations around a common framework for multiple sectors.

The purpose of this paper is to evaluate the technical efficiency and productivity changes in the integrated steel plants in India over a period of five years.

Since this evaluation of integrated steel plants needs consideration of multiple input and output factors, data envelopment analysis (DEA) has been employed including bootstrapping (to account for statistical noise) to evaluate the relative efficiency of the steel manufacturing units. The efficiency and Malmquist productivity indices of a sample of ten integrated steel plants producing around 55 percent of the industry’s output were determined for the period 2008-2013. The results of these changes were further categorized according to the management control, route followed to produce crude steel, size and age of these steel plants, for gaining insights.

The study finds that private sector steel plants with larger capacity and which have adopted the latest and most modern technologies are more efficient and productive over the study period.

Public sector steel plants should therefore be provided with more autonomy and delegation of power and should be agiler in responding to market requirements as well as increasing their installed capacities to be competitive in technical efficiency and productivity as well as profitability in the long term to ensure sustainable achievements.

Productivity changes over time, both with respect to technological and efficiency changes, for the Indian integrated steel plants producing comparable products using DEA.