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Managing severe sepsis early has several benefits. Correct early management includes delivering an appropriate fluid challenge. The purpose of this paper is to assess whether junior doctors prescribe adequate fluid challenges to severely septic patients.

A questionnaire outlining three scenarios, each involving a patient with severe sepsis, but with varying weights (50/75/100 kg), was distributed to junior doctors, working in two UK hospitals, managing surgical patients. Participants were asked the fluid volume challenge that they would prescribe for each patient. Responses were compared with the Surviving Sepsis Campaign's recommended volume during the study (20 ml/kg).

Totally, 77 questionnaires were completed. There were 15/231 (6.5 per cent) correct responses. The median volume chosen in each scenario was 500 ml, equating to 5-10 ml/kg. There was no significant difference between doctor grades (FY1 and SHO) in any scenario. With most junior doctors (FY1), there was no difference in responses according to weight; for SHOs the only significant difference was between the 75 and 100 kg scenarios.

Junior doctors are not following guidelines when prescribing fluid challenges to severely septic patients, giving too little and not adjusting volume according to body weight. This implies that high-prevalence, high-mortality conditions are not being treated appropriately by those most likely to treat these patients. More teaching, training and reassessment is required to improve care.

This, the first case-based survey the authors could find, highlights an issue requiring significant improvement. The implications are likely to be relevant to clinicians in all UK hospitals.

The purpose of this paper is to consider one of the recent and practical extensions of the resource-constrained project scheduling problem (RCPSP) termed as the multi-skill resource-constrained project scheduling problem (MSRCPSP) for investigation. The objective is the minimization of the makespan or total project duration.

To solve this complex problem, the authors propose a teaching–learning-based optimization (TLBO) algorithm in which self-study and examination have been used as additional features to enhance its exploration and exploitation capabilities. An activity list-based encoding scheme has been modified to include the resource assignment information because of the multi-skill nature of the algorithm. In addition, a genetic algorithm (GA) is also developed in this work for the purpose of comparisons. The computational experiments are performed on 216 test instances with varying complexity and characteristics generated for the purpose.

The results obtained after computations show that the TLBO has performed significantly better than GA in terms of average percentage deviation from the critical path-based lower bound for different combinations of three parameters, namely, skill factor, network complexity and modified resource strength.

The modified TLBO proposed in this paper can be conveniently applied to any product or service organization wherein human resources are involved in executing project activities.

The developed model can suitably handle resource allocation problems faced in real-life large-sized projects usually administered in software development companies, consultancy firms, R&D-based organizations, maintenance firms, big construction houses, etc. wherein human resources are involved.

The current work aims to propose an effective metaheuristic for a more realistic version of MSRCPSP, in which resource requirements of activities may be more than one. Moreover, to enhance the exploration and exploitation capabilities of the original TLBO, the authors use two additional concepts, namely, self-study and examination in the search process.

The purpose of this study is to understand why Gen Z indulges in moonlighting in IT organisations and to help policymakers redefine mutually beneficial policies for improving talent management, which will benefit Gen Z as well as organisations and society at large.

A qualitative technique was adopted by conducting in-depth interviews with Gen Z, who works in the IT sector of metropolitan cities in India. The interviews were transcribed and thematically coded using thematic analysis in NVivo. A model based on themes from the analysis has been proposed.

The themes derived from this study revolve around issues such as ethics, legal, self-satisfaction, money and social causes. These themes will contribute to the body of knowledge by adding new dimensions to moonlighting.

This research has been carried out consider Gen Z moonlighting in the IT sector within India. The study can be further enhanced to other regions and sectors. It will give clarity and help avoid potential conflict situations at the workplace.

This research will clarify and help avoid conflict situations by redefining policies and improving talent management and retention. The results can be further tested in other organisations.

This research draws attention of the policymakers to help create a common framework and guidelines for all stakeholders to follow with respect to moonlighting. It will open work opportunities on other platforms for interested and talented workforce and help them gain financial strength and independence.

Systematic thematic analysis using CAQDAS – NVivo has been carried out to elucidate Gen Z’s numerous motives for moonlighting in the IT sector. A model has been proposed based on the themes that evolved from the study, which policymakers can leverage to improve talent management in IT organisations.

The purpose of this paper model and prioritizes barriers to product development in medical device manufacturing industries using an integrated “structural equation modelling” (SEM) and “fuzzy technique for order performance by similarity to ideal solution” (FTOPSIS) framework.

Barriers to medical device development (MDD) are adopted from literature. The initial structural model is proposed, exploratory factor analysis and confirmatory factor analysis are used to determine factor loading and model fit, respectively. Further, FTOPSIS is used to rank the barriers and sensitivity analysis is carried to check the robustness of results. The results are discussed in detail and the recommendations to overcome the barriers are presented.

Barriers analysed and prioritized in this research significantly hinder the MDD. The expert survey is used to develop an initial structural equation model of barriers to MDD, find the reliability and validity of the model. Based on the opinion of the experts, the barriers are divided into three categories – internal, policy and induced barriers. FTOPSIS is applied to rank and prioritize the barriers based on views from these three classes of experts. More reliance on imported devices leading to increased imports (B11) and lack of uniform regulatory standards (B6) are found to have the highest rank together, indicating these to be the most important barriers from the perspective considered here. Sensitivity analysis indicates that the factors are less sensitive to the weights of criteria further confirming the reliability of the initial solution.

The prioritization of barriers may vary based upon experts. Policymakers, existing and new device developers need to give utmost importance to these barriers, which will help to accelerate the indigenous development of medical devices to overcome the present dependence on imports.

This paper demonstrates an integrated structural based modelling and prioritization technique for statistical modelling and prioritization of barriers to MDD. The results and recommendations will help policymakers and manufacturers to increase the indigenous share of medical devices. The integrated methodology can be effectively applied where the need for the combined quantitative and qualitative approach is there.

This paper demonstrates an effective structural based modelling and prioritization technique. It can be effectively applied in various fields, it will help policymakers and manufacturers to increase the indigenous share of medical devices.

Successful device development brings substantial revenues to medical device manufacturing industries. This paper aims to evaluate factors contributing to the success of medical device development (MDD) using grey DEMATEL (decision-making trial and evaluation laboratory) methodology through an empirical case study.

The factors are identified through literature review and industry experts’ opinions. Grey-based DEMATEL methodology is used to establish the cause-effect relationship among the factors and develop a structured model. Most significant factors contributing to the success of MDD are identified. An empirical case study of an MDD and manufacturing organisation is presented to demonstrate the use of the grey DEMATEL method. Sensitivity analysis is carried out to check robustness of results.

The results of applying the grey DEMATEL methodology to evaluate success factors of MDD show that availability of experts and their experience (SF4) is the most prominent cause factor, and active involvement of stakeholders during all stages of MDD (SF3) and complete elicitation of end-user requirements (SF1) are the most prominent effect factors for successful MDD. A sensitivity analysis confirms the reliability of the initial solution.

The findings will greatly help medical device manufacturers to understand the success factors and develop strategies to conduct successful MDD processes.

In the past, few success factors to MDD have been identified by some researchers, but complex inter-relationships among factors are not analysed. Finding direct and indirect effects of these factors on the success of MDD can be a good future research proposition.

This study provides a systematic review of the literature within the manufacturing strategy (MS) domain focusing on the congruence aspect of different strategic functions to determine the state-of-the-art research progression and the trend of publications.

We have adopted a five-stage review methodology consisting - 1) Article Identification; 2) Inclusion/Exclusion; 3) Review of the Articles; 4) Literature Analysis; 5) Future research directions. 121 articles focusing on congruence aspects and specific to the MS domain are identified and reviewed. Bibliometric analysis comprising keyword co-occurrence using a VOSviewer© software, and citation analysis is performed. Further, content analysis is carried out to categorize articles based on the type of research methodology, type of tool/method used, and aspects considered for congruence study.

Based on the research gaps identified in the existing literature on the congruence aspect within the MS domain, this study offers future research directions. Majorly, the work found is an empirical survey. Literature scants to develop a framework that helps to quantify the congruence between two strategic functions.

This study facilitates researchers and practitioners to understand the congruence between different strategic aspects studied in the literature and the level of fit between them. Further, the identified research directions can encourage researchers and practitioners to conceive novel approaches to conduct future works on congruence theme.

The unicity of the current review lies in its theme, i.e. congruence aspect within MS. To the best of author's knowledge, no comparable study is observed to review the congruence aspect in any other domain.

Gives an overview of the Australian banking industry, reviews relevant research and analyses productivity changes 1995‐1999 in a panel of 17 banks to assess the effects of deregulation and the reforms introduced by the Wallis report (1997). Explains the methodology (Malmquist indices calculated by data envelopment analysis) and presents the results, which show a decline of 3.1 per cent in technical efficiency over the period and of 3.5 per cent in the total factor productivity index, although there was an annual productivity growth rate of 1.3 per cent. Discusses the underlying reasons for this, compares productivity changes in individual banks and finds that size makes no difference. Considers the implications for policy makers, describes the industry as having a “limit of deregulation” syndrome and believes that further productivity gains depend on advances in technology.

The purpose of this paper is to propose a multi‐criteria decision making (MCDM) approach to evaluate product design alternatives in respect to the customer requirements.

This paper reports a systematic approach developed to concurrently satisfy the product requirements as well as the customer requirements. Mobile phone example has been elected to demonstrate the approach. Mobile product features and customer preferences data have been collected and analyzed to obtain the commonalities from the designer and customer perspective. Regression analysis has been carried out to establish the relationship between the product independent features with the dependent feature (Ex. Cost, Talk time). Based on the equations developed, different product configurations have been defined from the designer's point of view. Modified TOPSIS – a multi attribute decision making (MADM) method – has been employed to facilitate the most suitable product configuration selection based on the customer requirements.

The method facilitates design of the best product configuration that will maximize customer satisfaction with minimum cost.

The proposed methodology will provide a useful tool to the decision maker, which may help to eliminate the associated risks in the product design configuration that closely satisfy customer's expectations and product launching decision.

Scarcity of resources and ever-changing demand have attracted the government and manufacturers for an integrated sustainable-green-lean-six sigma-agile manufacturing system (ISGLSAMS). Many organizations failed to adopt ISGLSAMS due to various barriers. The purpose of this paper is to identify and rank the various barriers to ISGLSAMS and to analyze the correlations among the various barriers to ISGLSAMS so that the adoption of ISGLSAMS can be implemented in manufacturing organizations for more sustainable development of the industries, and industrial ecology.

A three tiers methodology is used to analyze the barriers to the adoption of ISGLSAMS. First, a total of 24 ISGLSAMS barriers are identified through a comprehensive literature review. Then data are collected with a structured questionnaire from 108 Indian manufacturing industries. Then, the sign test is used to check the relevance and significance of barriers. Then ISGLSAMS barriers are ranked based on the median and standard deviation. Spearman's correlations between the ISGLSAMS barriers are identified and studied to strengthen the in-depth understanding of correlations among the barriers.

The result shows that most of the Indian manufacturing industries agreed with the selected barriers to the adoption of ISGLSAMS. Low supplier commitment, uncertain financial benefits, the misconception of high cost, difficulty in evaluation of system performance throughout the life cycle, complexity in ISGLSA process design, the complexity of management of ISGLSAMS, complexity in ISGLSA system design, lack of updated information, complexity in ISGLSA product design and uncertain future legislation are found the major barriers for the ISGLSAMS in Indian manufacturing industries. While lack of leadership, low top management commitment, lack of government support, organizational structure, low employees' commitment, technological risk and low public pressure are considered minor barriers for the ISGLSAMS. Inter-relationships study of the barriers further contributes to the methodology to overcome the barriers.

The study contributes to a better understanding of ISGLSAMS barriers. Through this study, government, stakeholders and policymakers may plan the policy, roadmap and strategies to overcome the barriers to the ISGLSAMS. This will lead to the successful adoption of ISGLSAMS for more sustainable development of manufacturing industries in India.

This work contributes to identifying the barriers to a more sustainable manufacturing system, i.e. ISGLSAMS (7Rs based), and prioritizing them in Indian manufacturing industries. The research also contributes to the (1) study of inter-relationships among the ISGLSAMS barriers for analyzing the effect of one barrier over another barrier, and (2) ISGLSAMS literature because the sustainable manufacturing literature still lags the achievement of sustainability goals due to 6Rs focus.

This study aims to analyze how Indian management practices have influenced the international management research agenda. International interest in India as a business destination has been growing since the Indian policy-makers began opening up the economy in 1991. India’s continuing economic development and integration with global economy has led to a reassessment of its political, social and commercial relevance by the international community.

The authors choose four management disciplines and examine 40 peer-reviewed international journals for research related to India over the period 1991-2014. From the sample of 217 papers, the authors identify the trends, themes and motivations, and discuss the potential for future research.

The authors find that research on India remains flat for the 1991-2000 decade, and starts growing from 2005 onwards. Organizational behavior remains non-participative in the overall growth of research. The authors find very low levels of qualitative research, and none on endogenous phenomena that have been tested for applicability in non-Indian contexts. Marketing research remains mainly peripheral to Indian contexts. Review of highly cited papers reveals that management research on India is at an early stage, and offers fairly significant opportunities for future researchers.

Normal limitations of sample-based literature review apply. Further, the literature search is limited to a select set of highly ranked journals.

Studies analyzing themes related to Indian contexts in international publications are sparse. To the best of authors’ knowledge, no study of this nature exists in literature. This study makes a primary contribution for future management researchers across the four areas by informing on the research trends, journal outlets, and the characteristics of the research agenda.