Role of search for domain knowledge and architectural knowledge in alliance partner selection

Research Summary: The literature on technological alliances emphasizes that search for knowledge drives alliance formation. However, in conceptualizing technological knowledge, prior work on alliances has not made a distinction between domain knowledge—knowledge that firms possess in distinct technological domains—and architectural knowledge—knowledge that firms possess about how to combine elements from different technological domains. We argue that firms seek partners that are similar in domain knowledge to deepen their knowledge, and partners that are dissimilar in architectural knowledge to broaden their knowledge. Our results indicate that the likelihood of alliance formation increases when two firms are similar in domain knowledge and dissimilar in architectural knowledge. Further, our results show that these effects are positively moderated by the degree of decomposability of a firm's knowledge base. Managerial Summary: In dynamic environments, companies need to continually deepen and broaden their technological knowledge, and they often look for alliance partners who can provide them that knowledge. For knowledge deepening, companies are more likely to form alliances with those companies that have expertise in similar technological fields. For knowledge broadening, they are more likely to form alliances with those companies that have expertise in the same technological fields, but have different recipes for combining knowledge from those fields. Furthermore, a company with a modular knowledge base is more likely to seek a partner that has expertise in similar technological fields or whose recipes for combining knowledge from different technological fields are different from the recipes it has.     

Voluntary pricing mechanisms for green product purchase: altruistic versus self-enhancing consideration

Voluntary pricing mechanisms, such as Pay-What-You-Want (PWYW), could be a better pricing strategy to substitute for cash discount promotions. They can effectively promote the sales of conventional goods and services, while being influenced by socio-psychological variables. However, there is no clarity on the relative assessment of the impact of pricing frames, such as PWYW and Mark-Off-Your-Own-Price (MOYOP), on the consumers’ purchase of green products, where the purchase consideration might vary as the environment protection (altruistic) consideration versus the self-interest (self-enhancing) consideration. Further, there remains ambiguity on when and why such pricing mechanisms will work. This study, through an experiment, examines the buyers’ varied responses for the PWYW price frame versus the MOYOP price frame versus the fixed price frame under the environment protection (altruistic) consideration versus the self-interest (self-enhancing) consideration. It shows that although buyers do not show any difference in the mean voluntary payment between PWYW versus MOYOP frames as such; they prefer PWYW price frame under the environment protection (altruistic) consideration and MOYOP price frame under the self-interest (self-enhancing) consideration. The results show that the perception of price fairness mediates the relationship between pricing mechanism and willingness to buy (WTB). Furthermore, this study finds that price consciousness impacts the indirect effect of pricing mechanisms on WTB via perceived price fairness. The present study is the first to examine and analyze different considerations when the buyers’ preference varied for the PWYW versus MOYOP pricing frames. This study has suggested the underlying role of the perception of price fairness and price consciousness in the participative pricing mechanism on purchase.     

Gender and labor retrenchment in Chinese state owned enterprises: Investigation using firm-level panel data

In the late 1990s, China's state-owned enterprises (SOEs) underwent dramatic labor retrenchment, drawing considerable attention to how women fared relative to men during the retrenchment process. However, almost all the existing studies on the subject rely on individual-level data. In this paper, we study the gender patterns of SOE labor retrenchment using a unique enterprise-level dataset for the period from 1995 to 2001. We find that disproportionately large share of discharge was borne by female workers and that female discharge rates were more sensitive to output growth than male discharge rates. Further, estimating dynamic labor demand equations by gender, we find that female employment was more sensitive to negative output shocks experienced by enterprises than male employment but less sensitive to positive output shocks. Further, we find that sensitivity of female employment to output was greater for reformed than non-reformed enterprises and for male-intensive than female-intensive sectors. These results provide new insights into the gender patterns of employment adjustment of Chinese SOEs to output shocks during the retrenchment period.     

Manufacturing productivity in China and India: The role of institutional changes

In this paper we undertake a comparative study of productivity in the manufacturing sector for China and India using data from survey of manufacturing industries for the two countries. We find that productivity of manufacturing industries in China relative to that in India improved substantially over the 1998–2003 period. Specifically, the average total factor productivity (TFP) growth for the manufacturing sector over this period was about 11% higher in China than in India. We document two substantial changes in government policies in China that were not witnessed in India. First, the late 1990s saw an enormous wave of ownership restructuring due to the formal endorsement of private property rights by the Chinese central government. Second, in 1997 a large scale labour retrenchment program was launched to address the long standing problem of labour redundancy in the public sector. Using data from the Chinese survey of manufacturing industries, we quantify the impact of these large scale institutional changes on TFP of Chinese manufacturing industries. We find that these policy changes can explain about 30% of the growth in TFP of manufacturing industries. Hence we conclude that these institutional changes in China can account for a significant part of the gains in productivity of manufacturing industries in China relative to that in India over the 1998–2003 period.     

Quality signaling through ex-ante voluntary information disclosure in entrepreneurial networks: evidence from franchising

This paper examines antecedents of ex-ante voluntary information disclosures for standardized contracts in entrepreneurial networks. Entrepreneurs (e.g., franchisors) may make such disclosures to prospective business partners in order to signal profitability of partnering, attract financial and managerial resources, and develop their entrepreneurial networks. In practice, only a fraction of franchisors make financial performance representations (FPRs), an ex-ante voluntary information disclosure to prospective franchisees. We address gaps in the signaling, voluntary information disclosure, franchising, entrepreneurship, and small- and medium-enterprise (SME) literatures. We draw on signaling theory to develop a theoretical framework and investigate factors that influence a franchisor’s disclosure decision. We evaluate hypotheses from our theoretical framework through econometric analyses of multi-sector panel data for the US franchising industry. We estimate a logit model and use lagged independent variables to address our dichotomous independent variable and potential endogeneity, respectively. Our results support the view that firms signal their quality through FPRs to attract potential business partners and expand their entrepreneurial networks. Beyond the extant literature, we find that rigorous partner qualification is another driver of voluntary information disclosure in franchising. Our findings also provide empirical support for the complementary role played by multiple quality signaling mechanisms used by franchisors and yield public policy implications for franchising.     

DISCRIMINANT FUNCTION ANALYSIS OF SMALL FARMERS AND LANDLESS IN INDIA*

The small farmers and landless in India are faced with the vicious cycle of low incomes, low savings, low investment and uneconomic size of operational holdings and often are nonviable. Using data for the Haryana State of Northern India for 1977/78, the linear discriminant function was used to identify those factors which will make the majority of small farmers and landless in India a viable entity. Analysis of these data indicated that per hectare fertiliser use, area under high yielding crop varieties, operational size of holding and working capital are the factors which affect the viability of the small farmers and landless. As compared to the simple regression analysis discriminant function approach has been found an effective tool for discriminating the two social groups and for predicting the sponsored social change. However, the use of the discriminant function may be limited if the qualitative independent variable has more than two classes and its orderings are not in sequence.     

Opportunity is not everything

We experimentally investigate in village India how belief systems that hierarchize social groups affect the groups’ responses to economic opportunities. Earlier we found that making caste salient hurt low caste performance both absolutely and relative to the high caste's. To examine the possible role of mistrust, we manipulate the scope for discretion in rewarding performance. When offered a gamble in which success mechanically triggers rewards, making caste salient has no significant effect. Instead, it is in the case with scope for discretion that making caste salient creates a large caste gap in the proportion of subjects who refuse the gamble.     

Dynamic Currency Linkages and Their Determinants: An Empirical Study for East Asian Economic Community Region

In this article, Copula GARCH models have been employed to study the inter-temporal process of currency market co-movements between ASEAN+6 countries (referred to in this study as East Asian Economic Community) and ASEAN+6 currency market index. Empirical results show that the sample countries of the region exhibit varying levels of currency co-movements with the Asian benchmark. Markov regime switching results show that many of the countries which had high dependences with the regional currency index as was found in copula estimations had also overlapping currency market cycles. Using Principal Component Analysis, we find that three statistical factors explain exchange rate co-movements which came out to be trade linkages, economic risk, and currency market openness in our dynamic panel data estimation.