Professor Marti Subrahmanyam Award went to Rajeev Verma & Jayasimha K R from IIM Indore for the paper 'Service Delivery Innovation Architecture: An Empirical Study of Antecedents and Outcomes'
Professor Pradip Khandwalla Award went to Vidhula Venugopal & R Srinivasan from IIMB for the paper 'Growth Aspirations of Women Entrepreneurs - An Empirical Study in the Indian Context
Professor Dipak Jain Award went to Gopal Das from IIT Kharagpur for the paper 'Impact of store personality antecedents on store personality dimensions: An empirical study'
The Student Paper Award went to Ankur Arora from IIMB for his paper 'Dual based procedure for min-max regret uncapacitated facility location problem.'
Abstracts of awarded papers:
1. Service Delivery Innovation Architecture: An Empirical Study of Antecedents and Outcomes
Rajeev Verma, Doctoral Scholar, IIM Indore; Professor Jayasimha K R, IIM Indore
Firms carrying innovative business architecture reap substantial benefits by differentiating from competitors and getting competitive advantage in the market place. This paper investigates service delivery innovation architecture and its role in the sustainable competitive advantage of firms. The study focuses on service delivery innovation and develops a model of service innovation--customer orientation--competitive advantage based firm performance measure. Using survey data of 203 financial and information technology ventures based in Mexico, we identified the antecedents of service delivery innovation and its impact on firm sustainable competitive advantage. Further the study investigates the moderating role of customer orientation on innovation driven performance outcomes. Result shows that customer orientation strengthens service delivery-performance relationship. Overall this paper aims to contribute to the strategic planning of service firms by guiding their resource allocation to ensure sustainable growth.
2. Growth Aspirations of Women Entrepreneurs - An Empirical Study in the Indian Context
Vidhula Venugopal, Doctoral Scholar, IIMB; Professor R Srinivasan, IIMB
Women entrepreneurs are observed to grow less than their male counterparts. However, it has also been noted that these growth choices may be deliberate. This paper looks at the growth aspirations of women entrepreneurs and tries to understand them through cognitive aspects of the entrepreneur. It uses the theoretical lens of the theory of planned behaviour along with self-identity to study the antecedents of growth aspirations of women entrepreneurs. A mixed-method approach is undertaken with a survey following a set of interviews. The results indicate the importance of contextual factors and entrepreneurial self-efficacy on growth aspirations of women entrepreneurs.
3. Impact of Store Personality Antecedents on Store Personality Dimensions: An Empirical Study
Gopal Das, Doctoral Scholar, IIT Kharagpur
This paper explores the impact of store personality antecedents on store personality dimensions. A mall-intercept survey was undertaken using a systematic sampling of department store shoppers of age 18 years and above in Kolkata, a metropolitan city of India. Questionnaire was used to collect data from busy shopping malls or other centres with systematic sampling. The impact of store personality antecedents on store personality dimensions was explored using stepwise regression analysis. Results revealed that different sets of store personality antecedents affect various department store personality dimensions differently. The impacts of all sets were positive and significant. Arguably, this paper is the first to explore the link between store personality antecedents and store personality dimensions in Indian and department store personality contexts.
4. Dual Based Procedure for Min-Max Regret Uncapacitated Facility Location Problem
Ankur Arora, Doctoral Scholar, IIMB
In this paper, mathematical programming models for uncapacitated facility location problem (UFLP), which form the basis of other supply chain location models, is formulated for robustness under deep uncertainty. The robustness measure used for this mathematical programming is min-max regret. We devise dual-ascent methods that provide good lower bounds and heuristic primal solutions for these problems. In particular, we study the following problem:
We develop a model for the robust location problem within the supply chain that uses a min-max regret version of a basic facility location problem, considering a single product and single production echelon with uncapacitated facilities (UFLP). The aim is to minimise the maximum regret over all scenarios.. We investigate the polyhedral structure and introduce three classes of valid inequalities - base MIR, mixing inequality type 1 and type 2 to get a strong formulation. Using this strong formulation, we devise the method for dual ascent for solving the min-max regret UFLP problem. The algorithm generates solutions on the average within 12% percent of optimality.