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Publication Metadata only “Beware the young doctor and the old barber”: development and validation of a job age-type spectrum(Elsevier, 2021) Reeves, Michael Dennis; Fritzsche, Barbara Ann; Smith, Nicholas Anthony; Ng, Yin Lu; Department of Business Administration; Marcus, Justin; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; 124653Taking a worker-centric approach, with evidence based on the experiences of working individuals, the current study examines the age-related stereotypes of jobs, the characteristics of age-stereotyped jobs, and the consequences of occupying them. In Study 1, we utilize samples of working adults from the US, Turkey, and Malaysia to establish validation evidence for a spectrum of 160 jobs (n = 123 raters per job). Study 1 findings indicate that entry-level jobs and jobs requiring manual labor or the use of technology are younger-typed, whereas senior level jobs and jobs requiring large investments in training or education are older-typed. The age-typing of jobs was found to be similar across countries for the vast majority of jobs. We then provide criterion validity evidence in Study 2, by testing the interactive effects of chronological age, job age-type, and sex on psychological age and perceived age and sex discrimination across samples of workers from these same three countries (n = 1469). Results upheld theoretical predictions based upon career timetables theory, prototype matching theory, and intersectional salience of ageism theory. The interactive effects of chronological age and job age-type were stronger for women than for men; the hypothesized patterns of effects were overall consistent for women but not for men.Publication Metadata only A bilevel fixed charge location model for facilities under imminent attack(Pergamon-Elsevier Science Ltd, 2012) Aras, Necati; Department of Business Administration; Aksen, Deniz; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; 40308We investigate a bilevel fixed charge facility location problem for a system planner (the defender) who has to provide public service to customers. The defender cannot dictate customer-facility assignments since the customers pick their facility of choice according to its proximity. Thus, each facility must have sufficient capacity installed to accommodate all customers for whom it is the closest one. Facilities can be opened either in the protected or unprotected mode. Protection immunizes against an attacker who is capable of destroying at most r unprotected facilities in the worst-case scenario. Partial protection or interdiction is not possible. The defender selects facility sites from m candidate locations which have different costs. The attacker is assumed to know the unprotected facilities with certainty. He makes his interdiction plan so as to maximize the total post-attack cost incurred by the defender. If a facility has been interdicted, its customers are reallocated to the closest available facilities making capacity expansion necessary. The problem is formulated as a static Stackelberg game between the defender (leader) and the attacker (follower). Two solution methods are proposed. The first is a tabu search heuristic where a hash function calculates and records the hash values of all visited solutions for the purpose of avoiding cycling. The second is a sequential method in which the location and protection decisions are separated. Both methods are tested on 60 randomly generated instances in which m ranges from 10 to 30, and r varies between 1 and 3. The solutions are further validated by means of an exhaustive search algorithm. Test results show that the defender's facility opening plan is sensitive to the protection and distance costs.Publication Metadata only A bilevel partial interdiction problem with capacitated facilities and demand outsourcing(Elsevier, 2014) Akça, Sema Şengul; Aras, Necati; Department of Business Administration; Aksen, Deniz; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; 40308In this paper, partial facility interdiction decisions are integrated for the first time into a median type network interdiction problem with capacitated facilities and outsourcing option. The problem is modeled as a static Stackelberg game between an intelligent attacker and a defender. The attacker's (leader's) objective is to cause the maximum (worst-case) disruption in an existing service network subject to an interdiction budget. On the other hand, the defender (follower) is responsible for satisfying the demand of all customers while minimizing the total demand-weighted transportation and outsourcing cost in the wake of the worst-case attack. She should consider the capacity reduction at the interdicted facilities where the number of interdictions cannot be known a priori, but depends on the attacker's budget allocation. We propose two different methods to solve this bilevel programming problem. The first one is a progressive grid search which is not viable on large sized instances. The second one is a multi-start simplex search heuristic developed to overcome the exponential time complexity of the first method. We also use an exhaustive search method to solve all combinations of full interdiction to assess the advantage of partial interdiction for the attacker. The test results suggest that under the partial interdiction approach the attacker can achieve a better utilization of his limited resources.Publication Metadata only A decision support framework for evaluating revenue performance in sequential purchase contexts(Elsevier Science Bv, 2017) Öztürk, O. Cem; Department of Business Administration; Karabatı, Selçuk; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; 38819This paper studies the product ordering problem in sequential purchase contexts where sellers aim to maximize their revenue faced with budget constrained buyers. We propose a multi-layered decision support framework that combines empirical data with simulation, optimization, and econometric methods to address this problem. Our framework allows sellers to: (i) compare revenue performances of limited information sequencing strategies, (ii) quantify benchmark revenue levels that can be achieved via the optimal sequence based on detailed buyer information, (iii) determine the costs of limited information and strategic buyers to the seller, and (iv) identify the moderators of sequencing strategy performance. We illustrate our framework through two applications in a business-to-business used-car auction setting. Contrary to previous studies reporting practitioners’ tendency to sequence items from the lowest value to the highest, our results suggest that the best-performing limited information sequencing strategy depends on buyers’ bidding behavior. We also find that the revenue difference between the optimal sequence and a limited information sequencing strategy can be substantial. Our results show that a significant portion of this revenue difference is associated with the seller’s limited information on buyers’ budgets and product valuations. Our applications also provide various sensitivity analyses and develop new propositions on the moderators of the relationship between the seller’s revenue and sequencing strategies.Publication Metadata only A decomposition model for continuous materials flow production systems(Taylor & Francis, 1997) Yeralan, Sencer; Department of Business Administration; N/A; Tan, Barış; Faculty Member; N/A; Department of Business Administration; College of Administrative Sciences and Economics; N/A; 28600; N/AThis study presents a general and flexible decomposition method for continuous materials flow production systems. The decomposition method uses the station model developed in the first part of this study (Yeralan and Tan 1997). The decomposition method is an iterative method. At each iteration the input and output processes of the station model are matched to the most recent solutions of the adjacent stations. The procedure terminates when the solutions converge and the conservation of materials flow is satisfied. The decomposition method does not alter the station parameters such as the breakdown, repair, and service rates. This method can be used to analyse a wide variety of production systems built from heterogeneous stations. The properties of the decomposition method are studied for the series arrangement of workstations. The convergence and uniqueness of the decomposition method are discussed. The method is compared to other approximation methods. The complexity of the decomposition method is empirically investigated and is shown to be in the order of N-2 where N is the number of stations in the line, irrespective of the buffer capacities.Publication Metadata only A global brand management roadmap(Elsevier, 2012) Batra, Rajeev; Chattopadhyay, Amitava; ter Hofstede, Frenkel; Department of Business Administration; Tunalı, Ayşegül Özsomer; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; 108158N/APublication Metadata only A location-routing problem for the conversion to the "click-and-mortar" retailing: the static case(Elsevier, 2008) Altınkemer, Kemal; Department of Business Administration; Aksen, Deniz; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; 40308The static conversion from brick-and-mortar retailing to the hybrid click-and-mortar business model is studied from the perspective of distribution logistics. Retailers run warehouses and brick-and-mortar stores to meet the demand of their walk-in customers. When they decide to operate on the Web as an e-tailer, also click-and-mortar stores are needed which can serve both walk-in and online customers. While the distance between home and the nearest open store is used as a proxy measure for walk-in customers, a quality of service (QoS) guarantee for online customers is timely delivery of their orders. We describe and solve a static location-routing based problem for companies that embrace the clicks-and-bricks strategy in their retail operations. An augmented Lagrangian relaxation method embedded in a subgradient optimization procedure generates lower bounds, whereas a heuristic method finds feasible solutions. The performance of the Lagrangian-based solution method is tested on a number of randomly generated test problems.Publication Open Access A longitudinal analysis of customer satisfaction and share of wallet: investigating the moderating effect of customer characteristics(American Marketing Association (AMA), 2007) Cooil, B.; Keiningham, T. L.; Hsu, M.; Department of Business Administration; Aksoy, Lerzan; Faculty Member; Department of Business Administration; College of Administrative Sciences and EconomicsCustomer loyalty is an important strategic objective for all managers. Research has investigated the relationship between custom̀er satisfaction and loyalty in various contexts. However, these predominantly cross-sectional studies have focused on customer retention as the primary measure of loyalty. There has been little investigation into the impact on share of wallet. Using data from the Canadian banking industry, this research aims to (1) provide the first longitudinal examination of the impact of changes in customer satisfaction on changes in share of wallet and (2) determine the moderating effects of customer age, income, education, expertise, and length of relationship. Data from 4319 households using 12,249 observations over a five-year period indicate a positive relationship between changes in satisfaction and share of wallet. In particular, the initial satisfaction level and the conditional percentile of change in satisfaction significantly correspond to changes in share of wallet. Two variables, income and length of the relationship, negatively moderate this relationship. Other demographic and situational characteristics have no impact.Publication Open Access A longitudinal examination of net promoter and firm revenue growth(American Marketing Association (AMA), 2007) Keiningham, Timothy L.; Cooil, Bruce; Andreassen, Tor Wallin; Department of Business Administration; Aksoy, Lerzan; Faculty Member; Department of Business Administration; College of Administrative Sciences and EconomicsManagers have widely embraced and adopted the Net Promoter metric, which noted loyalty consultant Frederick Reichheld advocates as the single most reliable indicator of firm growth compared with other loyalty metrics, such as customer satisfaction and retention. Recently, however, there has been considerable debate about whether this metric is truly superior. This article (1) employs longitudinal data from 21 firms and 15,500-plus interviews from the Norwegian Customer Satisfaction Barometer to replicate the analyses used in Net Promoter research and (2) compares Reichheld and colleagues' findings with the American Customer Satisfaction Index. Using industries Reichheld cites as exemplars of Net Promoter, the research fails to replicate his assertions regarding the "clear superiority" of Net Promoter compared with other measures in those industries.Publication Metadata only A longitudinal examination of the asymmetric impact of employee and customer satisfaction on retail sales(Emerald Group Publishing, 2006) Keiningham, T.L.; Cooil, B.; Peterson, K.; Vavra, T.G.; Department of Business Administration; Aksoy, Lerzan; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; N/APurpose The purpose of this research is to examine changes in, and consistency of customer and employee satisfaction for asymmetry with regard to sales changes for a large US specialty goods retailer. Design-methodology-approach The data came from a 125 store US specialty goods retailer. Customer and employee data represent surveys administered by the firm in 2000 and 2001. Over 34,000 customer questionnaires and 3,900+ employee questionnaires were collected for the study. Pearson correlations and CHAID analyses were used to test the hypotheses. Findings For satisfaction employee and customer to impact changes in sales, perceived performance standards on some dimensions must be consistently delivered and changes in satisfaction levels must cross attribute-specific threshold levels. Research limitations-implications As the data comes from a single retailer, it is not possible to conclusively generalize these findings to all other retailers, or to other industries. Practical implications For managers, the typical reliance on simple mean employee or customer satisfaction scores or indexes is unlikely to adequately explain changes in sales. Managers must achieve satisfaction levels on those attributes where consistent performance is linked to sales. Additionally, given the threshold nature of the relationship, it is critical that managers be certain that efforts designed to improve satisfaction do so in sufficient force so as to reach levels that correspond with increasing sales. Originality-value While the literature has shown asymmetry in the relationship between customer satisfaction and customer behavior, to date no research has examined possible asymmetry in employee satisfaction data and business performance. Furthermore, analyses of asymmetry in customer satisfaction data have largely focused on cross-sectional data and individual-level customer data as opposed to business performance indicators. Understanding the asymmetric nature of the examined relationships should result in better allocation and use of marketing resources.