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Role of HR analytics and attrition on organisational performance: a literature review leveraging the SCM-TBFO framework 人力资源分析和人员流失对组织绩效的作用:利用SCM-TBFO框架的文献综述
IF 5.6 Pub Date : 2023-09-04 DOI: 10.1108/bij-06-2023-0412
P. R. Kiran, A. Chaubey, Rajesh Kumar Shastri
PurposeThe research paper aims to analyse the scholarly literature on advancing HR analytics as an intervention for attrition, a problem that lingers on organisational performance. This study aspires to provide an in-depth literature review and critically assess the knowledge gaps in HR analytics and attritions within organisational performance.Design/methodology/approachThe review analyses the corpus of 196 research articles published in ostensible journals between 2011 and 2023. To identify research gaps and provide valuable insights, this study synthesises relevant studies using School of thought (S), Context (C), Methodology (M), Triggers (T), Barriers (B), Facilitators (F) and Outcomes (O) (SCM-TBFO framework). This study employs the R programming language to conduct a systematic literature review in accordance with the “preferred reporting items for systematic reviews and meta-analysis” (PRISMA) guidelines.FindingsThe emerging discipline of HR analytics encompasses the potential to manage attrition and drive organisational performance enhancements effectively. The study of SCM-TBFO encompasses a multidimensional approach, incorporating diverse perspectives and analysing its complex aspects compared to various approaches. The School of thought includes the human capital theory, expectancy theory and resource-based view. The varied research contexts entail the USA, United Kingdom, China, France, Italy and India. Further, the methodologies adopted in the studies are artificial neural networking (ANN), regression, structure equation modelling (SEM) case studies and other theoretical studies. HR analytics and attrition triggers are data mining decision systems, forecasting for firm performance and employee satisfaction. The barriers include leadership styles, cultural adaptability and lack of analytic skills, data security and organisational orientation. The facilitators were categorised into data and technology-related facilitators, human resource policies and organisational growth and performance-related facilitators. The study's primary outcomes are technology adoption, effective HR policies, HR strategies, employee satisfaction, career and organisational expansion and growth.Originality/valueThe primary goal of the literature review is to provide a comprehensive overview of the current state of HR analytics and its impact on organisational performance, particularly in relation to attrition. Further, the study suggests that attrition, a critical organisational concern, can be effectively managed by strategically utilising HR analytics and empowering data-driven interventions that optimise performance and enhance overall organisational outcomes.
本研究论文旨在分析关于推进人力资源分析作为对人员流失的干预的学术文献,这是一个困扰组织绩效的问题。本研究旨在提供深入的文献综述,并批判性地评估组织绩效中人力资源分析和人员流失的知识差距。本综述分析了2011年至2023年间发表在表面上的期刊上的196篇研究论文的语料库。为了确定研究差距并提供有价值的见解,本研究使用思想学派(S)、背景(C)、方法(M)、触发因素(T)、障碍(B)、促进因素(F)和结果(O) (SCM-TBFO框架)综合了相关研究。本研究采用R编程语言,按照“系统评价和荟萃分析的首选报告项目”(PRISMA)指南进行系统文献综述。新兴的人力资源分析学科包含了管理人员流失和有效推动组织绩效提升的潜力。对SCM-TBFO的研究包含了一种多维的方法,结合了不同的观点,并分析了与各种方法相比其复杂的方面。该学派包括人力资本理论、期望理论和资源基础理论。不同的研究背景包括美国、英国、中国、法国、意大利和印度。此外,研究中采用的方法是人工神经网络(ANN),回归,结构方程模型(SEM)案例研究和其他理论研究。人力资源分析和人员流失触发器是数据挖掘决策系统,预测公司绩效和员工满意度。这些障碍包括领导风格、文化适应性和缺乏分析技能、数据安全和组织导向。这些促进因素被分为与数据和技术有关的促进因素、人力资源政策和与组织发展和绩效有关的促进因素。该研究的主要结果是技术采用、有效的人力资源政策、人力资源战略、员工满意度、职业和组织扩张和成长。原创性/价值文献综述的主要目标是全面概述人力资源分析的现状及其对组织绩效的影响,特别是与人员流失有关的影响。此外,该研究表明,通过战略性地利用人力资源分析和授权数据驱动的干预措施,可以有效地管理人员流失,这是一个关键的组织问题,可以优化绩效并提高整体组织成果。
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引用次数: 0
Green product development framework: empirical evidence from Chinese automotive supply chains 绿色产品开发框架:来自中国汽车供应链的经验证据
IF 5.6 Pub Date : 2023-08-31 DOI: 10.1108/bij-10-2022-0614
M. Abdulrahman, N. Subramanian
PurposeThe study aims to develop and test a supply chain wide green product development framework of focal firms and their major suppliers, in the context of the Chinese automotive industry.Design/methodology/approachAn in-depth case studies approach is adopted for this study. Three automotive sector upstream supply chains involving 17 firms and 51 experts as respondents were interviewed on the importance and implementation effectiveness of 6Rs (reduce, redesign, recover, remanufacture, reuse and recycle) across the manufacturer and their respective tier 1 and tier 2 suppliers.FindingsThe results indicate that the Chinese automotive sector supply chains are mainly focused on “reduce” practices with immediate environmental and economic benefits. The investigated firms however had future implementation plans for “redesign” and “recovery” practices to become comprehensive in green product development (GPD).Research limitations/implicationsThe study facilitates automotive firms, industry policymakers and researchers the understanding of incorporating comprehensive GSCM practices across the upstream supply chain to achieve circularity. The study focused on upstream supply chain due to the concentration of major production practices in this section of the supply chain. However, the downstream supply chain equally deserve attention as well as the need to understand the mediating and moderating roles of the different Rs to tease out the pros and cons of achieving overall environmental sustainability.Originality/valueThere are very limited studies on comprehensive GPD for achieving optimal GSCM and sustainability. By simultaneous looking at a focal firm and its upstream supply chains GSCM practices, this study addresses a system-wide comprehensive GPD issues from implementation of 6Rs perspectives in the supply chain.
本研究的目的是在中国汽车工业的背景下,开发和测试重点企业及其主要供应商的供应链范围内的绿色产品开发框架。设计/方法/方法本研究采用深入的案例研究方法。三个汽车行业上游供应链涉及17家公司和51位专家作为受访者,对制造商及其各自的一级和二级供应商的6r(减少、重新设计、回收、再制造、再利用和再循环)的重要性和实施有效性进行了采访。研究结果表明,中国汽车行业供应链主要侧重于具有直接环境和经济效益的“减少”实践。然而,被调查的公司有“重新设计”和“恢复”实践的未来实施计划,以成为全面的绿色产品开发(GPD)。研究的局限性/意义本研究有助于汽车公司、行业决策者和研究人员理解在上游供应链中整合全面的GSCM实践以实现循环。由于主要的生产实践集中在供应链的这一部分,所以研究的重点是上游供应链。然而,下游供应链同样值得关注,也需要了解不同Rs的中介和调节作用,以梳理出实现整体环境可持续性的利弊。原创性/价值对于实现最佳GSCM和可持续性的综合GPD的研究非常有限。通过同时观察焦点公司及其上游供应链GSCM实践,本研究从供应链中实施6r的角度解决了全系统的综合GPD问题。
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引用次数: 0
Unveiling the link between operational interdependency and supply chain performance 揭示业务相互依赖和供应链绩效之间的联系
IF 5.6 Pub Date : 2023-08-30 DOI: 10.1108/bij-10-2022-0634
Jie Yang, Hongming Xie, Yuan Wang
PurposeThis study investigates the possible curvilinear relationship between operational interdependency and supply chain performance as well as the contingency effect of supply chain disruptions, in terms of disruption orientation and disruption impact.Design/methodology/approachPath analysis was employed to test the hypotheses using the data collected from Chinese manufacturers.FindingsThe results confirm an inverted U-shape effect of operational interdependency. As level of buyer-supplier operational dependency increase, the supply chain performance is enhanced. However, the benefits of operational interdependency diminish beyond a certain point. Additionally, the findings of this study show the disruption orientations positively moderate the relationship between interdependency and performance, whereas the effect of disruption impact is not significant.Originality/valueThe findings of this study provide an explanation to the theoretical gap about the equivocal results of the effect of dependency, which provide new insights into the literature regarding buyer-supplier relationships. Furthermore, this paper identifies the moderating role of supply chain disruption in the relationship between operational interdependency and supply chain performance, which provide further explanation about the mixed results of the effect of dependency. The results confirmed that supply chain disruption orientation positively moderate the relationship between operational interdependency and supply chain performance.
目的本研究从中断导向和中断影响两方面探讨业务相互依赖与供应链绩效之间可能存在的曲线关系以及供应链中断的偶然性效应。采用设计/方法学/方法路径分析,使用从中国制造商收集的数据来检验假设。研究结果证实了操作相互依赖的倒u形效应。随着买卖双方经营依赖程度的提高,供应链绩效也随之提高。但是,业务相互依赖的好处超过某一点就会减少。此外,本研究发现,颠覆性取向正调节相互依赖与绩效之间的关系,而颠覆性冲击的影响不显著。本研究的发现解释了依赖效应的模糊结果的理论缺口,为有关买方-供应商关系的文献提供了新的见解。此外,本文还确定了供应链中断在经营相互依赖与供应链绩效关系中的调节作用,从而进一步解释了依赖效应的混合结果。结果证实,供应链中断导向正向调节运营相互依赖与供应链绩效之间的关系。
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引用次数: 0
A network data envelopment analysis based paradigm to benchmark fiscal performance – an analysis of fiscal outlay efficiency among Indian states 基于网络数据包络分析的基准财政绩效范式——印度各邦财政支出效率分析
IF 5.6 Pub Date : 2023-08-30 DOI: 10.1108/bij-04-2022-0214
N. Arora, Shubhendra Jit Talwar
PurposeThe fiscal outlay efficiency matters when the performance-based allocation of funds is made to state governments by the central government in a federal structure of an economy like India. Also the efficiency cannon of public expenditure is a key aspect in the field of public economics. Thus, a study to evaluate the efficiency in fiscal outlay of Indian states has been conducted.Design/methodology/approachThe paper offers a three divisions–based paradigm under Network Data Envelopment Analysis framework to compare the performance of fiscal entities (say Indian state governments) in converting available fiscal resources into desired short-run and long-run growth and development objectives. The network efficiency score has been taken as a measure of the quality of fiscal outlay management that is trifurcated into divisional efficiencies representing budgeting process, fiscal outlay efficiency process and fiscal outlay effectiveness process.FindingsIt has been noticed that the states are under performing in achieving short-run growth targets and so the efficiency process division has been identified a major source of fiscal under performance. Suboptimum allocation of fiscal expenditure under various heads within the fiscal resources, as explained under budgeting process, is another major cause of fiscal under performance.Practical implicationsThe study purposes a three divisions–based paradigm that takes into account efficiency of a state in (1) planning budget, (2) achieving short-run growth targets and (3) achieving long-run development targets. These three stages are named as budgeting process efficiency, fiscal outlay efficiency and fiscal outlay effectiveness, respectively. Therefore, a new paradigm called BEE paradigm is proposed to evaluate performance of fiscal entities in terms of fiscal outlay efficiency.Originality/valueIn existing literature on measuring efficiency of public expenditure, the public sector outputs have been made as function of fiscal expenditure as input treating the said outlay as an exogenous variable. In present context, the fiscal expenditure has been treated endogenous to the budgeting process. A high inefficiency on account of budgeting process supports this treatment too.
在印度这样的联邦制经济体中,当中央政府向州政府进行基于绩效的资金分配时,财政支出效率很重要。同时,公共支出效率问题也是公共经济学研究的一个重要方面。因此,对印度各邦财政支出效率进行了评估研究。设计/方法/方法本文在网络数据包络分析框架下提供了一个基于三个部门的范式,以比较财政实体(如印度州政府)在将可用财政资源转化为期望的短期和长期增长和发展目标方面的表现。网络效率得分作为衡量财政支出管理质量的指标,分为代表预算过程、财政支出效率过程和财政支出有效性过程的部门效率。已经注意到,各州在实现短期增长目标方面表现不佳,因此效率流程划分已被确定为财政表现不佳的主要来源。如预算编制程序所述,财政资源内不同项目下的财政支出分配不佳是财政业绩不佳的另一个主要原因。实践意义本研究的目的是一个基于三个部门的范式,该范式考虑了一个国家在(1)规划预算、(2)实现短期增长目标和(3)实现长期发展目标方面的效率。这三个阶段分别称为预算过程效率、财政支出效率和财政支出有效性。因此,本文提出了一种新的范式——BEE范式,从财政支出效率的角度来评价财政主体的绩效。原创性/价值在现有的衡量公共支出效率的文献中,公共部门的产出被视为财政支出作为投入的函数,将上述支出视为外生变量。在当前的背景下,财政支出被视为预算编制过程的内生因素。由于预算过程的高效率也支持这种处理。
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引用次数: 0
Optimization of a production inventory model of imperfect quality items for three-layer supply chain in fuzzy environment 模糊环境下三层供应链不完美品生产库存模型的优化
IF 5.6 Pub Date : 2023-08-28 DOI: 10.1108/bij-11-2021-0678
Ritu Arora, A. Chauhan, A. Singh, Renu Sharma
PurposeGood management strives to align and corporate processes for more attention being paid to supply chain management. Firms realize that greater co-operation and improved coordination can help to manage the entire supply chain more efficiently. The imperfect quality item is one of the most important issues that affect the expected profit of green supply chain. The imprecise cost with screening process of poor quality items posed in supply chain is the subject of this study.Design/methodology/approachThe present study explores production model for imperfect items having uncertain cost parameters with three-layer supply chain encompassing supplier, manufacturer and retailer. The model is considering the impact of business tactics such as order size, production rate, production cost and appropriate times in various sectors on collaborative marketing systems. Due to imprecise cost parameters, the pentagonal fuzzy numbers are set to fuzzify the total cost and defuzzifition by using graded mean integration.FindingsThis study offers an explicit condition in uncertain environment to manage the imperfect quality item to increase the potential profit of the supply chain. The influence of changes in parameter values on the optimal inventory policy under fuzziness is provided managerial insights.Originality/valueThis model makes a significant contribution to fuzzy inference. The results of the study provide a trading strategy for the industry to avoid losses. The prescribed study can be suitable for the industries like sculpture, jewelry, pottery, etc.
目的:良好的管理努力调整和企业流程,更多地关注供应链管理。公司意识到更大的合作和改进的协调可以帮助更有效地管理整个供应链。产品质量不完善是影响绿色供应链预期利润的重要问题之一。本研究的主题是供应链中劣质产品筛选过程中的不精确成本。设计/方法/途径本研究探讨了包含供应商、制造商和零售商的三层供应链中具有不确定成本参数的不完美产品的生产模型。该模型考虑了订单规模、生产率、生产成本和各个部门的适当时间等商业策略对协同营销系统的影响。由于成本参数不精确,设置五边形模糊数对总成本进行模糊化,并采用梯度均值积分法进行去模糊。研究结果:本研究为不确定环境下管理不完美品质项目以增加供应链潜在利润提供了明确条件。研究了模糊条件下参数值变化对最优库存策略的影响。原创性/价值该模型对模糊推理有重要贡献。研究结果为该行业提供了避免损失的交易策略。本课程适用于雕塑、珠宝、陶艺等行业。
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引用次数: 0
The role of employee environmental commitment in the green HRM practices, turnover intentions and environmental sustainability nexus 员工环境承诺在绿色人力资源管理实践、离职意向和环境可持续性关系中的作用
IF 5.6 Pub Date : 2023-08-28 DOI: 10.1108/bij-06-2022-0393
A. Suleman, Kwesi Amponsah-Tawiah, Aaron Makafui Ametorwo
PurposeThe study sought to examine the mediating effect of employee environmental commitment (EEC) in the relationships between green human resource management practices (Green HRMPs) and environmental sustainability (ES) and employee turnover intentions (ETI).Design/methodology/approachUsing a cross-sectional survey approach, data was sourced from 296 respondents from five manufacturing firms listed on the Ghana Stock Exchange. Data was analysed using descriptive and inferential statistics with the help of Statistical Package for Social Sciences (SPSS) and SmartPLS.FindingsResults showed that EEC had a partial mediation effect on the relationship between Green HRMPs and ES at the organisational level but fully mediated the relationship between Green HRMPs and ETI at the individual level.Practical implicationsIt is evident from the findings that Green HRMPs improve ES and employee stability. Therefore, practitioners and educational institutions should consider integrating environmental concerns into their functional processes and operations. In addition, governments as policymakers should formulate and strengthen the enforcement of already-existing environmental management and sustainability policies that promote the integration of green practices and initiatives in both private and public entities.Originality/valueLittle is known about Green HRM and its effect on organisational and individual-level outcomes, especially in Sub-Saharan Africa. This study presents empirical evidence from an emerging economy.
目的探讨员工环境承诺在绿色人力资源管理实践(green hrps)与环境可持续性(ES)和员工离职意向(ETI)之间的中介作用。设计/方法/方法采用横断面调查方法,数据来自加纳证券交易所上市的五家制造公司的296名受访者。在社会科学统计软件包(SPSS)和SmartPLS的帮助下,使用描述性和推断性统计对数据进行分析。结果表明,EEC在组织层面上对绿色人力资源管理与环境绩效之间的关系具有部分中介作用,但在个体层面上对绿色人力资源管理与环境绩效之间的关系具有完全中介作用。从研究结果可以明显看出,绿色人力资源管理方案提高了企业环境绩效和员工稳定性。因此,从业者和教育机构应考虑将环境问题纳入其功能过程和操作中。此外,作为决策者的各国政府应制定和加强执行现有的环境管理和可持续性政策,促进私营和公共实体的绿色做法和倡议的结合。独创性/价值关于绿色人力资源管理及其对组织和个人层面结果的影响,特别是在撒哈拉以南非洲,人们知之甚少。本研究提供了一个新兴经济体的经验证据。
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引用次数: 0
Unveiling metaverse potential in supply chain management and overcoming implementation challenges: an empirical study 揭示供应链管理中的跨界潜力并克服实施挑战:一项实证研究
IF 5.6 Pub Date : 2023-08-28 DOI: 10.1108/bij-05-2023-0314
Surajit Bag, Muhammad Sabbir Rahman, Gautam Srivastava, S. Shrivastav
PurposeThe metaverse is a virtual world where users can communicate with each other in a computer-generated environment. The use of metaverse technology has the potential to revolutionize the way businesses operate, interact with customers, and collaborate with employees. However, several obstacles must be addressed and overcome to ensure the successful implementation of metaverse technology. This study aims to examine the implementation of metaverse technology in the management of an organization's supply chain, with a focus on predicting potential barriers to provide suitable strategies.Design/methodology/approachCovariance-based structural equation modeling (CB-SEM) was used to test the model. In addition, artificial neural network modeling (ANN) was also performed.FindingsThe CB-SEM results revealed that a firm's technological limitations are among the most significant barriers to implementing metaverse technology in the supply chain management (SCM). The ANN results further highlighted that the firm's technological limitations are the most crucial input factors, followed by a lack of governance and standardization, integration challenges, poor diffusion through the network, traditional organizational culture, lack of stakeholder commitment, lack of collaboration and low perception of value by customers.Practical implicationsBecause metaverse technology has the potential to provide organizations with a competitive advantage, increase productivity, improve customer experience and stimulate creativity, it is crucial to discuss and develop solutions to implementation challenges in the business world. Companies can position themselves for success in this fascinating and quickly changing technological landscape by conquering these challenges.Originality/valueThis study provides insights to metaverse technology developers and supply chain practitioners for successful implementation in SCM, as well as theoretical contributions for supply chain managers aiming to implement such environments.
目的虚拟世界是一个虚拟世界,用户可以在计算机生成的环境中相互交流。使用metaverse技术有可能彻底改变企业运营、与客户互动以及与员工协作的方式。然而,必须解决和克服几个障碍,以确保成功实现元宇宙技术。本研究旨在研究在组织的供应链管理中实施元技术,重点是预测潜在的障碍,以提供合适的策略。设计/方法学/方法采用基于协方差的结构方程模型(CB-SEM)对模型进行检验。此外,还进行了人工神经网络建模(ANN)。发现CB-SEM结果显示,企业的技术限制是在供应链管理(SCM)中实施元技术的最重要障碍之一。人工神经网络的结果进一步强调,公司的技术限制是最关键的投入因素,其次是缺乏治理和标准化、整合挑战、通过网络的扩散不良、传统的组织文化、缺乏利益相关者承诺、缺乏协作和客户对价值的低感知。由于虚拟现实技术具有为组织提供竞争优势、提高生产力、改善客户体验和激发创造力的潜力,因此讨论和开发解决方案以应对商业世界中的实施挑战至关重要。通过克服这些挑战,公司可以在这个迷人且快速变化的技术领域中取得成功。原创性/价值本研究为在供应链管理中成功实施元技术开发人员和供应链实践者提供了见解,也为旨在实施这种环境的供应链管理人员提供了理论贡献。
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引用次数: 1
Difficulties and challenges in the modernization of a production cell with the introduction of Industry 4.0 technologies 随着工业4.0技术的引入,生产单元现代化的困难和挑战
IF 5.6 Pub Date : 2023-08-24 DOI: 10.1108/bij-02-2023-0071
Pedro Guilherme Sanches Contieri, A. Hassui, L. A. Santa-Eulalia, T. Sigahi, I. Rampasso, G. Moraes, R. Anholon
PurposeThe heterogeneous character of Industry 4.0 opens opportunities for studies to understand the difficulties and challenges found in the transformation process of manufacturers. This article aims to present a critical analysis of the modernization process of an Industry 3.0 automated cell into a fully autonomous cell of Industry 4.0. The objective is to elucidate the difficulties found in this transition process and the possible ways to overcome the challenges, focusing on the management perspective.Design/methodology/approachFor this, the needed steps for the technology transition were defined and the main I4.0 enabling technologies were applied, such as the application of machine learning algorithms to control quality parameters in milling.FindingsThe main challenges found were related to the obsolescence of the equipment present in the cell, challenges in data integration and communication protocols, in addition to the training of people who work actively in the project team. The difficulties faced were discussed based on similar studies in the literature and possible solutions for each challenge.Originality/valueThis understanding of possible barriers in the modernization process, and the step-by-step defined for this transition, can be important references for professionals working in manufacturing industries and researchers who aim to deepen their studies in this important and disruptive stage of world industrialization.
目的工业4.0的异质性为研究制造商转型过程中遇到的困难和挑战提供了机会。本文旨在对工业3.0自动化单元向工业4.0完全自主单元的现代化过程进行批判性分析。目的是阐明在这一过渡过程中发现的困难和克服挑战的可能方法,重点放在管理角度。为此,定义了技术转型所需的步骤,并应用了主要的工业4.0支持技术,例如应用机器学习算法来控制铣削过程中的质量参数。发现的主要挑战与单元中存在的设备过时,数据集成和通信协议方面的挑战以及项目团队中积极工作人员的培训有关。根据文献中类似的研究,讨论了所面临的困难以及每个挑战的可能解决方案。原创性/价值对现代化进程中可能存在的障碍的理解,以及对这一过渡的逐步定义,对于从事制造业的专业人士和旨在深化世界工业化这一重要和破坏性阶段研究的研究人员来说,是重要的参考。
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引用次数: 0
Enhancing quality requirements management in retailing industry: The role of Quality Function Deployment 加强零售业质量需求管理:质量功能展开的作用
IF 5.6 Pub Date : 2023-08-22 DOI: 10.1108/bij-12-2022-0749
D. Pacheco, Rodrigo Veleda Caetano, Samuel Vinícius Bonato, Bruno Miranda dos Santos, W. P. Bueno
PurposeSmall retail stores in the luxury market face significant challenges due to fluctuations in market demand. This task turns challenging as it requires effectively coordinating and translating customer needs into specific requirements that align with retail goals and available resources. However, limited empirical research exists investigating how managers can address service value and quality attributes in small retail stores. This article aims to bridge this gap by investigating the role of quality function deployment (QFD) in improving market and quality requirements management in small retail stores.Design/methodology/approachBased on the case study, a customer survey was initially conducted to gather information on critical characteristics valued in the luxury retail segment. QFD was used to assist the company in identifying and prioritizing key quality attributes to meet customer requirements effectively.Findings The findings demonstrate that implementing QFD in small luxury retail stores empowers managers to identify previously neglected product and service quality aspects. The article shows that QFD informs organizational adaptations that align with the demands of the retail market, leading to an improved ability to meet customer expectations and enhance customer value through the development of enhanced products and services. The study showcases the efficacy of the tested methodology in effectively capturing and prioritizing both tangible and intangible customer needs in retail.Practical implications Findings offer valuable insights to retail managers of small luxury stores, providing actionable market-oriented strategies. By implementing the recommended practices, managers can improve the store’s competitiveness and better cater to the customer base.Originality/value This study contributes to bridging persistent knowledge gaps by addressing the unique context of small luxury retail stores and introducing the application of QFD in this setting. The insights gained from this research are relevant to both retailing and quality management literature. Considering the growing prevalence of transformations in the retail industry, the study provides practical implications for retail managers in effectively navigating these changes.
由于市场需求的波动,奢侈品市场的小型零售商店面临着重大挑战。这项任务变得具有挑战性,因为它需要有效地协调并将客户需求转化为与零售目标和可用资源相一致的特定需求。然而,关于管理者如何在小型零售商店中处理服务价值和质量属性的实证研究有限。本文旨在通过研究质量功能部署(QFD)在改善小型零售商店的市场和质量需求管理中的作用来弥合这一差距。设计/方法/方法基于案例研究,最初进行了一项客户调查,以收集奢侈品零售领域所看重的关键特征的信息。QFD用于帮助公司识别关键质量属性并对其进行优先排序,以有效地满足客户需求。研究结果表明,在小型奢侈品零售店实施QFD使管理者能够识别以前被忽视的产品和服务质量方面。本文表明,QFD通知组织适应零售市场的需求,从而提高满足客户期望的能力,并通过开发增强的产品和服务来提高客户价值。该研究展示了测试方法在有效地捕捉和优先考虑零售中有形和无形的客户需求方面的功效。研究结果为小型奢侈品商店的零售经理提供了有价值的见解,提供了可操作的市场导向策略。通过实施推荐的做法,管理者可以提高商店的竞争力,更好地迎合客户群。独创性/价值本研究通过解决小型奢侈品零售商店的独特背景,并在此背景下引入QFD的应用,有助于弥合持续存在的知识差距。从这项研究中获得的见解与零售和质量管理文献都相关。考虑到零售业转型的日益普遍,该研究为零售经理有效地驾驭这些变化提供了实际意义。
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引用次数: 0
Challenges of big data analytics for sustainable supply chains in healthcare – a resource-based view 大数据分析对医疗保健可持续供应链的挑战——基于资源的观点
IF 5.6 Pub Date : 2023-08-21 DOI: 10.1108/bij-06-2022-0390
M. Hussain, Mian M. Ajmal, Girish Subramanian, Mehmood Khan, Salameh Anas
PurposeRegardless of the diverse research on big data analytics (BDA) across different supply chains, little attention has been paid to exploit this information across service supply chains. The healthcare supply chains, where supply chain operations consume the second highest expenditures, have not completely attained the potential gains from data analytics. So, this paper explores the challenges of BDA at various levels of healthcare supply chains.Design/methodology/approachDrawing on the resource-based view (RBV), this research explores the various challenges of big data at organizational and operational level of different nodes in healthcare supply chains. To demonstrate the links among supply chain nodes, the authors have used a supplier-input-process-output-customer (SIPOC) chart to list healthcare suppliers, inputs (such as employees) supplied and used by the main healthcare processes, outputs (products and services) of these processes, and customers (patients and community).FindingsUsing thematic analysis, the authors were able to identify numerous challenges and commonalities among these challenges for the case of healthcare supply chains across United Arab Emirates (UAE). An applicable exploration on organizational (Socio-technical) and operational challenges to BDA can enable healthcare managers to acclimate efficient and effective strategies.Research limitations/implicationsThe identified common socio-technical and operational challenges could be verified, and their impacts on the sustainable performance of various supply chains should be explored using formal research methods.Practical implicationsThis research advances the body of literature on BDA in healthcare supply chains in that (1) it presents a structured approach for exploring the challenges from various stakeholders of healthcare chain; (2) it presents the most common challenges of big data across the chain and finally (3) it uses the context of UAE where government is focusing on medical tourism in the coming years.Originality/valueOriginality of this work stems from the fact that most of the previous academic research in this area has focused on technology perspectives, a clear understanding of the managerial and strategic implications and challenges of big data is still missing in the literature.
尽管不同供应链的大数据分析(BDA)研究多种多样,但很少有人关注跨服务供应链利用这些信息。医疗保健供应链是供应链运营支出第二高的领域,但尚未完全实现数据分析的潜在收益。因此,本文探讨了BDA在医疗保健供应链的各个层面所面临的挑战。设计/方法/途径基于资源基础观点(resource-based view, RBV),本研究探讨了大数据在医疗保健供应链不同节点的组织和运营层面的各种挑战。为了展示供应链节点之间的联系,作者使用了供应商-输入-流程-输出-客户(SIPOC)图表来列出医疗保健供应商、主要医疗保健流程提供和使用的输入(如员工)、这些流程的输出(产品和服务)以及客户(患者和社区)。通过主题分析,作者能够确定阿拉伯联合酋长国(UAE)医疗保健供应链案例中的许多挑战和这些挑战中的共同点。对BDA面临的组织(社会技术)和运营挑战进行适用的探索,可以使医疗保健管理人员适应高效和有效的策略。研究的局限性/意义可以验证已确定的共同社会技术和运营挑战,并应使用正式的研究方法探索其对各种供应链可持续绩效的影响。本研究对医疗保健供应链中BDA的文献进行了进一步的研究:(1)提出了一种结构化的方法来探索医疗保健链中不同利益相关者的挑战;(2)它提出了整个链条中最常见的大数据挑战,最后(3)它使用了阿联酋的背景,阿联酋政府在未来几年将重点放在医疗旅游上。这项工作的原创性源于这样一个事实,即该领域之前的大多数学术研究都集中在技术角度上,对大数据的管理和战略影响以及挑战的清晰理解在文献中仍然缺失。
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引用次数: 1
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Benchmarking-An International Journal
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