Transitive and acyclic rationality indicators of fuzzy choice functions on base domain

In the present paper we introduce the indicators of the fuzzy transitive congruence axiom, fuzzy direct-revelation axiom and fuzzy acyclic congruence axiom. These indicators measure the degree to which a fuzzy choice function satisfies these axioms. We use the indicators of fuzzy transitive congruence axiom and fuzzy acyclic congruence axiom to calculate the minimum degree to which the direct fuzzy revealed preference relation is the transitive and acyclic respectively. We established that (i) the degree to which the fuzzy choice function is full rational is the degree to which it satisfies fuzzy transitive congruence axiom and (ii) the degree to which the fuzzy choice function is acyclic rational is the minimum degree to which it satisfies fuzzy direct-revelation axiom and its fuzzy revealed preference is acyclic. We show that a similarity relation on the set of fuzzy choice functions preserves the indicators of fuzzy transitive congruence axiom, fuzzy direct-revelation axiom, fuzzy acyclic congruence axiom and (transitive and acyclic) rationality indicators.     

Graphical Presentations of Data Envelopment Analyses: Management Implications from Parallel Axes Representations*

The conversion of multivariate data analysis into information that managers can readily use in their decision making has always been a challenging task. In this paper we provide a parallel axis representation of multivariate data and demonstrate how this representation may be used as a tool for implementing the results of data envelopment analysis. We use an analysis of the efficiency of electricity generating plants to illustrate the technique.     

Application of hybrid framework to facilitate lean six sigma implementation: a manufacturing company case experience

This study aims to propose a hybrid framework for lean six sigma (LSS) based on the prioritisation of barriers and solution approaches, to facilitate hassles free applications for handling the challenges of wastes reduction and quality improvement. The study identifies 27 LSS barriers and 22 solution approaches through literature review and utilises feedback from industry experts. For framework, study uses fuzzy AHP-PROMETHEE to prioritise LSS barriers and solution approaches. Incorporating fuzzy sets in analytical hierarchy process (AHP) ensures the optimality of barrier weights. Whereas, preference ranking organisation method for enrichment of evaluations (PROMETHEE) helps in pairwise comparisons of solution approaches with respect to each LSS barrier, facilitating fair judgements. This research guides regarding the development of framework and checks its suitability and robustness through case application of an Indian manufacturing organisation. Authors expect that researchers and practitioners will find study useful for LSS and multi criteria decision making(MCDM) domains.     

Information Asymmetries in the Hiring Process and the Risk of New Leader Dismissal: Insights from English Premier League Soccer Organizations

Why are some new leaders dismissed more quickly than others? Adopting agency theory logic, the authors examine how different succession contexts shape boards’ information asymmetries about a potential candidate's competencies in the hiring process, which influences the propensity of making poor hiring decisions and hence the risk of new leader dismissal. Employing duration analysis on a sample of 164 newly appointed leaders in the English premier league (1996–2014), the authors find that the risk of new leader dismissal is: (i) greater when the predecessor leader's exit was initiated by them rather than by the board; (ii) greater when following a longer‐tenured predecessor; and (iii) lower for outside successions compared with inside successions.     

Negotiated identities: Male migration and left-behind wives in India

This paper examines the impact of husbands’ migration on the lives of women left behind. Using data from the India Human Development Survey 2005, we focus on two dimensions of women’s lives: women’s autonomy and control over their lives; and women’s labour force participation. Results suggest that household structure forms the key mediating factor through which husbands’ absence affects women. Women not residing in extended families are faced with both higher levels of responsibilities and greater autonomy, while women who live in extended households do not experience these demands or benefits.     

Ignorance Isn't Bliss: Complaint Experience and Organizational Learning in the California Nursing Home Industry, 1997–2004

Organizational learning theory suggests that complaints about products and services can promote organizational learning and change. However, evidence suggests that potentially valuable forms of experience may be ignored or discounted in organizations, and additional research is needed to determine why this happens. This study contributes to those efforts by examining how multiple forms of complaint experience interactively influence organizational outcomes. An empirical test on a longitudinal panel of Californian nursing homes finds that complaints about other issues may distract attention away from complaints about a focal issue, but only when complaints are provided anonymously. These findings forward organizational learning theories by suggesting that multiple types of experience may detract from rather than supplement each other in some cases. Additional implications and opportunities for further research are also discussed.     

Demand and Production Management with Uniform Guaranteed Lead Time

Recently, innovation‐oriented firms have been competing along dimensions other than price, lead time being one such dimension. Increasingly, customers are favoring lead time guarantees as a means to hedge supply chain risks. For a make‐to‐order environment, we explicitly model the impact of a lead time guarantee on customer demands and production planning. We study how a firm can integrate demand and production decisions to optimize expected profits by quoting a uniform guaranteed maximum lead time to all customers. Our analysis highlights the increasing importance of lead time for customers, as well as the tradeoffs in achieving a proper balance between revenue and cost drivers associated with lead‐time guarantees. We show that the optimal lead time has a closed‐form solution with a newsvendor‐like structure. We prove comparative statics results for the change in optimal lead time with changes in capacity and cost parameters and illustrate the insights using numerical experimentation.