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Permanent URI for this collectionhttps://hdl.handle.net/20.500.14288/3
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Publication Metadata only How, when, and why do attribute-complementary versus attribute-similar cobrands affect brand evaluations: a concept combination perspective(Oxford Univ Press Inc, 2015) Swaminathan, Vanitha; Kubat, Umut; Department of Business Administration; N/A; Canlı, Zeynep Gürhan; Şanlı, Ceren Hayran; Faculty Member; PhD Student; Department of Business Administration; College of Administrative Sciences and Economics; Graduate School of Business; 16135; 275215Extant research on cobranding does not examine when and why complementarity or similarity between cobranding partners can be more effective. This research examines consumers' reactions to cobranded partnerships that feature brands with either complementary or similar attribute levels, both of which are common in the marketplace. The results of six experiments show that consumers' evaluations vary as a function of concept combination interpretation strategy (property mapping or relational linking) and whether cobranded partners have complementary or similar attributes. Specifically, when consumers use property mapping, they evaluate cobranded partnerships with complementary (vs. similar) attribute levels more favorably. In contrast, when using relational linking, they evaluate cobranded partnerships with complementary (vs. similar) attribute levels less favorably. The results also reveal that the breadth of the host brand (broad vs. narrow) and the type of advertising influence the extent to which consumers are likely to use property mapping or relational linking in evaluating cobranded partnerships.Publication Metadata only You share, we donate! - an exploratory study on an emerging cause-related marketing phenomenon(Asian Business Assoc, 2017) Wen, Xiaohan; Bowen, Melanie; Kim, Shinhye; N/A; Yılmaz, Tuba; PhD Student; N/A; N/AN/APublication Metadata only Managing home health-care services with dynamic arrivals during a public health emergency(Institute of Electrical and Electronics Engineers (IEEE), 2022) Araz, Ozgur M.; N/A; Department of Industrial Engineering; N/A; Çınar, Ahmet; Salman, Fatma Sibel; Parçaoğlu, Mert; PhD Student; Faculty Member; Master Student; Department of Industrial Engineering; Graduate School of Sciences and Engineering; College of Engineering; Graduate School of Sciences and Engineering; N/A; 178838; N/AWe consider a public health emergency, during which a high number of patients and their varying health conditions necessitate prioritizing patients receiving home health care. Moreover, the dynamic emergence of patients needing urgent care during the day should be handled by rescheduling these patients. In this article, we present a reoptimization framework for this dynamic problem to periodically determine which patients will be visited in which order on each day to maximize the total priority of visited patients and to minimize the overtime for the health-care provider. This optimization framework also aims to minimize total routing time. A mixed-integer programming (MIP) model is formulated and solved at predetermined reoptimization times, to assure that urgent patients are visited within the current day, while visits of others may be postponed, if overtime is not desired or limited. The effectiveness of a schedule is evaluated with respect to several performance metrics, such as the number of patients whose visits are postponed to the next day, waiting time of urgent patients, and required overtime. The MIP-based approach is compared to two practical heuristics that achieve satisfactory performance under a nervous service system by excelling in different criteria. The MIP-based reoptimization approach is demonstrated for a case during the COVID-19 pandemic. We contribute to the home health-care literature by managing dynamic/urgent patient arrivals under a multiperiod setting with prioritized patients, where we optimize different rescheduling objectives via three alternative reoptimization approaches.Publication Metadata only The interplay of competitive and cooperative behavior and differential benefits in alliances(Wiley, 2018) N/A; Arslan, Birgül; Faculty Member; College of Administrative Sciences and Economics; N/ABuilding on game theory and the transaction costs paradigm, this paper systematically examines the interplay between competitive and cooperative behavior and its effect on differential benefits in alliances. Cooperative behavior leads to joint value creation that yields common benefits, while competitive behavior is linked with value appropriation resulting in private benefits. Differential benefits arise when partners extract private benefits. Yet, private benefit extraction depends on the associated reduction in the common benefit potential of the alliance. This paper demonstrates that differential benefits decrease as partners refrain from private benefit extraction when the common benefit potential is high and common benefits are equally distributed. Differential benefits increase when a partner holds dominant operational control under high levels of task interdependence. While alliances create synergy potential unavailable to individual firms, they may also lead to differential benefits to the partners. Since differential benefits may hurt a partner both within and outside the scope of the alliance, it is important to understand how they arise. A key source of differential benefits is private benefit extraction through the misappropriation of partner resources. Overall, private benefit extraction depends on the associated reduction in the common benefit potential of the alliance. The findings suggest that partners may refrain from private benefit extraction when the common benefit potential is high and when the expected common benefits are equally distributed among partners. In contrast, private benefits increase when one partner holds dominant operational control under high levels of task interdependence.Publication Metadata only The relationship of downward mobbing with leadership style and organizational attitudes(Springer, 2013) N/A; Department of Psychology; Department of Psychology; Ertüreten, Ayşe Gül; Cemalcılar, Zeynep; Aycan, Zeynep; Master Student; Faculty Member; Faculty Member; Department of Psychology; Graduate School of Social Sciences and Humanities; College of Social Sciences and Humanities; College of Social Sciences and Humanities; N/A; 40374; 5798The present study investigates (1) the relationship of different leadership styles (transactional, transformational, authoritarian, paternalistic) with mobbing behaviors of superiors (i.e., downward mobbing) and (2) organizational attitudes (job satisfaction, organizational commitment, turnover intention) of mobbing victims. Data were collected from 251 white-collar employees. Path analysis findings showed that transformational and transactional leadership decreased the likelihood of mobbing, whereas authoritarian leadership increased it. Paternalistic leadership was mildly and negatively associated with mobbing. Regarding the consequences of mobbing for employees' organizational attitudes, the same analyses suggested that higher perceptions of downward mobbing was significantly associated with lower job satisfaction, lower affective commitment, higher continuous commitment, and higher turnover intention.Publication Metadata only Business, ethics and institutions the evolution of Turkish capitalism in a comparative perspective(Routledge, 2020) Jones, Geoffrey; N/A; Çolpan, Aslı M.; Other; College of Administrative Sciences and Economics; N/AN/APublication Metadata only An empirical examination of personal learning within the context of teams(Wiley, 2016) Jiang, Yuan; Jackson, Susan E.; N/A; Çolakoğlu, Saba Sultan; Other; College of Administrative Sciences and Economics; N/AUsing a sample of 588 employees in 59 work teams, we tested a model that situates personal learning within the context of teams, viewing it as a joint function of teams' leadership climate (i.e., transformational leadership) and task characteristics (i.e., task routineness and task interdependence). Consistent with our hypotheses, we found that the positive relationships between transformational leadership climate and the two dimensions of personal learning (relational job learning and personal skill development) were moderated by the nature of the teams' tasks. Specifically, transformational leadership climate was more strongly associated with personal learning for members of teams working on tasks that were less routine, rather than more routine. However, no significant moderation was found for leadership climate and task interdependence. Our findings underscore the importance of taking into account the contextual conditions within which leadership influence occurs while also demonstrating the potential role that leaders can play in promoting employees' personal learning. Overall, our study bolsters theories that conceptualize adult learning as a transaction between people and their social environments and points to a practical need to match leadership styles with team task characteristics to unleash transformational leadership effects. Copyright (c) 2015 John Wiley & Sons, Ltd.Publication Metadata only Downside risk aversion, fixed-income exposure, and the value premium puzzle(Elsevier Science Bv, 2012) Baltussen, Guido; Van Vliet, Pim; N/A; Post, Gerrit Tjeerd; Other; Graduate School of Business; N/AThe value premium is relatively small for investors with a material fixed-income exposure, such as insurance companies and pension funds, especially when they are downside-risk-averse. Value stocks are less attractive to these investors because they offer a relatively poor hedge against poor bond returns. This result arises for plausible, medium-term evaluation horizons of around one year. Our findings cast doubt on the practical relevance of the value premium for these investors and reiterate the importance of the choice of the relevant test portfolio, risk measure and investment horizon in empirical tests of market portfolio efficiency.Publication Metadata only State-dependent asset allocation using neural networks(Taylor & Francis, 2022) Bradrania, Reza; N/A; Pirayesh Negab, Davood; PhD Student; Graduate School of Sciences and Engineering; N/AChanges in market conditions present challenges for investors as they cause performance to deviate from the ranges predicted by long-term averages of means and covariances. The aim of conditional asset allocation strategies is to overcome this issue by adjusting portfolio allocations to hedge changes in the investment opportunity set. This paper proposes a new approach to conditional asset allocation that is based on machine learning; it analyzes historical market states and asset returns and identifies the optimal portfolio choice in a new period when new observations become available. In this approach, we directly relate state variables to portfolio weights, rather than firstly modeling the return distribution and subsequently estimating the portfolio choice. The method captures nonlinearity among the state (predicting) variables and portfolio weights without assuming any particular distribution of returns and other data, without fitting a model with a fixed number of predicting variables to data and without estimating any parameters. The empirical results for a portfolio of stock and bond indices show the proposed approach generates a more efficient outcome compared to traditional methods and is robust in using different objective functions across different sample periods.Publication Metadata only A gender- and class-sensitive explanatory model for rural women entrepreneurship in Turkey(Emerald Group Publishing Ltd, 2020) N/A; N/A; Kurtege Sefer, Bengü; Researcher; The Center for Gender Studies (KOÇ-KAM) / Koç Üniversitesi Toplumsal Cinsiyet ve Kadın Çalışmaları Araştırma ve Uygulama Merkezi (KOÇ-KAM); N/A; 364663Purpose The purpose of this paper is to offer a new gender- and class-sensitive framework for research on rural women entrepreneurship by focusing on the women's agricultural cooperatives in Turkey. Although these cooperatives have been promoted as ideal bottom-to-top organizations to integrate women into economy as entrepreneurs, there has been significant decline in their numbers. This paper tackles with this contradictory situation and intends to offer an alternative research framework on the viability of the women's agricultural cooperatives in Turkey. Design/methodology/approach The paper is built on a critical assessment of the existing literature. It argues that a framework that brings together macro-, meso- and micro-factors will provide a springboard to unfold the gendered processes integral to rural female entrepreneurship in Turkey. Drawing on intersectional theory, the multilayered factors which operate to rural women's (dis)advantages through the cooperatives are unfolded as policymaking, policy implementation and everyday experiences. Findings For policymakers and implementers, it points out the need for a holistic and integrated understanding of rural female entrepreneurship and for re-formulation of policies at the state level. For rural women, it draws attention to the measures required to be taken at the cooperative level to overcome inequalities. Originality/value This paper is original in making explicit social, political and economic embeddedness of female entrepreneurship in rural Turkey.