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This study aims to understand client food preferences and how pantry offerings can be optimized by those preferences.

This study develops and administers customized surveys to study three food pantries within the Second Harvest Food Bank of Northwestern North Carolina network. This study then categorizes food items by client preferences, identifies the key predictors of those preferences and obtains preference scores by fitting the data to a predictive model. The preference scores are subsequently used in an optimization model that suggests an ideal mix of food items to stock based upon client preferences and the item and weight limits imposed by the pantry.

This study found that food pantry clients prefer fresh and frozen foods over shelf-friendly options and that gender, age and religion were the primary predictors. The optimization model incorporates these preferences, yielding an optimal stocking strategy for the pantry.

This research is based on a specific food bank network, and therefore, the client preferences may not be generalizable to other food banks. However, the framework and corresponding optimization model is generalizable to other food aid supply chains.

This study provides insights for food pantry managers to make informed decisions about stocking the pantry shelves based on the client’s preferences.

An emerging topic within the humanitarian food aid community is better matching of food availability with food that is desired in a way that minimizes food waste. This is achieved by providing more choice to food pantry users. This work shows how pantries can incorporate client preferences in inventory stocking decisions.

This study contributes to the literature on food pantry operations by providing a novel decision support system for pantry managers to aid in stocking their shelves according to client preferences.

The purpose of this paper is to examine how a firm’s investment behavior relates to its subsequent bank loan contracting.

Using a sample of US firms during the period 1992-2011, the authors examine the association between overinvestment (underinvestment) and three characteristics of bank loan contracts: loan spread, collateral requirement, and loan maturity.

The authors find that overinvesting firms obtain loans with higher loan spreads. Additional tests show that the effect of overinvestment on loan spreads is generally more pronounced in firms with lower reputation, weaker shareholder rights, and lower institutional ownership. The effect of overinvestment on collateral requirement is mixed, and investment efficiency has no significant relation to loan maturity.

The results are subject to the following caveats. First, while the study provides empirical evidence that investment efficiency affects bank loan contracting terms, especially the cost of bank loans, the underlying theory is not well-developed. The authors leave it up to future research to provide a theoretical framework to clearly distinguish the cash flow and credit risk effects of past investment behavior from those of existing agency conflicts. Second, due to data limitation, the sample size is small, especially when the authors control for corporate governance measured by G-index and institutional ownership.

The finding that overinvestment is costly to corporations suggests that managers should consider the potential trade-offs from such investment decisions carefully. The evidence also alerts shareholders and board members to the importance of monitoring management investment decisions. In addition, the authors find that corporate governance moderates the relationship between investment decisions and cost of bank loans, suggesting that it would be beneficial to design effective governance mechanisms to prevent management from empire building and motivate managers to pursue efficient investment strategies.

First, the findings enhance understanding of the potential economic consequences of overinvestment decisions in the context of a firm’s private debt contracting. The evidence suggests that lenders perceive higher credit risk from overinvestment than from underinvestment, likely because firms squander cash in the current period by investing in (negative net present value) projects that are likely to result in future cash flow problems. Second, the study contributes to the literature on the determinants of bank loans by identifying an observable empirical proxy for uncertainty in future cash flows that increases credit risk.

In practice and in literature, logistics service quality is one of the key concepts in any service industry, including airlines. However, the breadth of content and the inconsistent accounts make comprehensive understanding of service quality elusive, thereby necessitating the conduct of a systematic review of the literature on service quality in the context of airlines. In doing so, this study aims to provide a clear, consistent and current overview of the literature, enabling the advancement of theory and research in service quality.

In particular, this study presents several aspects of logistics service quality based on the 52 articles reviewed published between 1993 and 2019. Content analysis was used to analyze the data in terms of key attributes of service quality from the selected articles.

Following an analysis, this study summarizes the antecedents and consequences, along with mediators and moderators, and develops a review framework of service quality.

This study provides a starting point for understanding logistics service quality in a context of airline where choice of perspective (at three different perspectives) and framing of context (where logistics interfaces with marketing function, thereby ensuring a well-functiong synthesis of marketing and service activities in the value chain) are of decisive importance. It also expands an understanding of service quality in marketing field with an integration of logistics function as well as challenging some of the conventional knowledge of the applying logistics in service-based business like the airlines. However, this paper is restricted by several limitations that must be taken into account when applying its findings such as context-specific results,cross-sectional data and recall variables.

This paper provides a clear and consistent concept, as well as a current overview of the literature, which enables advancement in theory and research. It also reveals theoretical underpinnings of the research stream and outlines future research directions. Additionally, it challenges some of the conventional knowledge of the applying logistics on service-based business such as airline which broadens the scope of our thinking and provides a foundation for future study.

Considering the randomness of physical parameters of structural material, dynamic characteristic topology optimization mathematical model based on reliability of planar continuum structures is built in this paper. In which topology information variables of the structure are taken as design variables, minimizing the mean value of total structural weight as objective function and satisfying the reliability requirement of structural dynamic characteristic as constraints. In the process of optimization, the ESO method based on probability is adopted as solution strategy. At the same time, distribution function method is utilized to convert the reliability constraints into conventional constraints formally. A square thin plate with four sides fixed is used as an example to demonstrate the rationality and validity of the presented model.

Most engineering products contain more than one component or structural element, a consideration that needs to be appreciated during the design process and beyond, to manufacturing, transportation, storage and maintenance. The allocation and design of component interconnections (such as bolts, rivets, or springs, spot‐welds, adhesives, others) usually play a crucial role in the design of the entire multi‐component system. This paper extends the evolutionary structural optimization method to the generic design problems of connection topology. The proposed approach consists of a simple cycle of a finite element analysis followed by a rule‐driven element removal process. To make the interconnection elements carry as close to uniform a load as possible, a “fully stressed” design criterion is adopted. To determine the presence and absence of the interconnection elements, the usage efficiencies of fastener elements are estimated in terms of their relative stress levels. This avoids the use of gradient‐based optimization algorithms and allows designers to readily seek an optimization of connection topology, which can be implemented in their familiar CAD/CAE design platforms. To demonstrate the capabilities of the proposed procedure, a number of design examples are presented in this paper.

Research involving interorganizational relationships (IORs) has grown at an impressive rate. Several datasets have been used to understand the nature and performance implications of these relationships. Given the importance of such relationships, we describe a relatively new dataset, Bloomberg SPLC, which contains data regarding the percentage of costs and revenues attributed to suppliers and customers, as well as allows researchers to construct a comprehensive dataset of IORs of buyer–supplier networks. Because of this, Bloomberg SPLC data can be used to uncover new and exciting theoretical and empirical implications. This chapter provides background information about this dataset, guidance on how it can be leveraged, and new theoretical terrain that can be charted to better understand IORs.

Based on two dominant perspectives, team climate and knowledge integration, on team innovation, this study aims to propose a moderated mediation model to examine the interactive effect of inter-team trust and goal clarity on team innovation through knowledge inflows into a team. Considering the two perspectives at the same time will provide a more complete picture on our understanding on team innovation.

The research model is tested on 150 retail teams of a large apparel firm. Data are collected from two separate surveys, one to store managers and one to store staff members. Moderation mediation regression analysis is conducted on the survey data.

The regression analysis identified both a positive direct effect of goal clarity on innovation, and a negative moderating effect of goal clarity on the mediation of knowledge inflows between inter-team trust and innovation. In other words, inter-team trust is positively related to team innovation through knowledge inflows when goal clarity is low.

In this study, the authors identify an indirect and negative role of goal clarity on team innovation, and examine the mechanism and boundary of inter-team trust on team innovation. Managers are advised to foster a trusting environment and be aware of cognitive bias in their teams so that their teams can be more innovative.

This study addresses an important research question regarding how supplier-base concentration affects buyer efficiency. Drawing on the contradicting views of transaction cost theory (TCT) and resource dependence theory (RDT), the authors explore the main effect of supplier-base concentration on buyer efficiency and how this effect is contingent on buyers' characteristics (i.e. research and development (R&D) expenditure and market share).

Based on data collected from the Chinese manufacturing firms listed on National Equities Exchange and Quotations (NEEQ) between 2015 and 2019, the authors use a fixed-effect model as well as a two-stage least squares model to test the predictions.

The authors find that supplier-base concentration has a positive effect on buyer efficiency. In addition, when a buyer has higher levels of R&D expenditure and market share, the positive relationship between supplier-base concentration and buyer efficiency is strengthened.

This study contributes to a better understanding of the effect of supplier-base concentration. First, the authors provide theoretical and empirical evidence of the positive effect of supplier-base concentration on buyer efficiency. Second, the authors reveal the underlying mechanism of how to counter the potential drawbacks and benefit more from supply base reduction by introducing R&D expenditure and market share as contingencies.

Gives a bibliographical review of the finite element methods (FEMs) applied for the linear and nonlinear, static and dynamic analyses of basic structural elements from the theoretical as well as practical points of view. The range of applications of FEMs in this area is wide and cannot be presented in a single paper; therefore aims to give the reader an encyclopaedic view on the subject. The bibliography at the end of the paper contains 2,025 references to papers, conference proceedings and theses/dissertations dealing with the analysis of beams, columns, rods, bars, cables, discs, blades, shafts, membranes, plates and shells that were published in 1992‐1995.

The purpose of this systematic narrative review is to discourse on vision and organizational performance. By analysing work-life and organization studies journals, the authors respond to a call to view the process of visioning more holistically.

The methodological approach is a discourse-oriented qualitative content analysis. The authors explore visioning through an epistemological lens, which emphasizes both the connections and differences between “traditional” philosophical approaches.

The findings show how the different interpretations of vision and related concepts are tied to the following themes: clarity, causality, embodiment and sensory experiences and actionability.

Through the frameworks of scientific realism and relativism, the authors illustrate novel insights into the ways in which visioning occupies a place in knowledge management.