中印创业者之创业评价与青年人职业选择研究

社会支持是创业活动重要的推动因素,而对创业发展的政策制定而言,假设不同地区对创业活动的需求是一致的,同样的政策可以适用于不同的地区.本研究认为,社会如何看待创业者和创业是未来创业活动的重要决定因素.这种态度会受到个人的家庭背景以及该地区的创业发展情况影响.     

A simple model of coalitional bidding

Summary. We analyze a model of coalitional bidding in which coalitions form endogenously and compete with each other. Since the nature of this competition influences the way in which agents organize themselves into coalitions, our main aim is to characterize the equilibrium coalition structure and the resulting bids. We do so in a simple model in which the seller may have good reason to allow joint bidding. In particular, we study a model in which the agents are budget constrained, and are allowed to form coalitions to pool their finances before engaging in the first price auction. We show that if the budget constraint is very severe, the equilibrium coalition structure consists of two coalitions, one slightly larger than the other; interestingly, it is not the grand coalition. This equilibrium coalition structure is one which yields (approximately) the maximum expected revenue. Thus the seller can induce the optimal (revenue maximizing) degree of cooperation among budget constrained buyers simply by permitting them to collude. Received: June 25, 1999; revised version: November 13, 2000     

Investigating Organizational Learning through Social Network Analysis: The Case of a Consultancy Firm in India

Three problems beset the literature on organizational learning—confusion about who learns (individuals, groups, or organization), absence of a robust theory, and tools for measurement. Social network analysis, it is argued, can be used to capture organizational learning at multiple levels, to capture relational data (expressed as linkages between actors), and can yield actionable insights for changes within the organization. Two subprocesses of organizational learning, information acquisition and distribution, were measured using social network analysis in a decade‐old consultancy firm in India. Results reveal who shares information with whom, who goes to whom for information, who is bypassed, who hoards, how groups interact, and how much information is shared at the organizational level. The study provides a deeper understanding of how “people” relationships affect learning at various levels. The theoretical and managerial implications of the approach taken to measure organizational learning using social network analysis are discussed. © 2016 Wiley Periodicals, Inc.     

Board gender composition,board independence and sustainable supply chain responsibility

The consideration of social and environmental factors in companies’ supply chain is a prevalent research topic because stakeholders are now inquisitive about the social and environmental impacts of companies’ suppliers. Using a sample of S&P 500 firms, we find that board gender composition and board independence are positively associated with sustainable supply chain responsibility (SSCR). We also identify three channels (CEO duality, sustainability committee and sensitive industries) through which board gender composition and board independence affect SSCR, where board gender composition consistently explains SSCR, but the effect of board independence is less pronounced in firms with CEO duality and firms with a sustainability committee. Finally, we explore the reason for the less-pronounced findings for board independence in our subsample analyses and find that, compared with independent female directors who continue to display significant associations with SSCR, independent male directors do not engender SSCR across the three subsample tests.     

Revisiting the Purpose of Selling: Toward a Model of Responsible Selling

Selling as a profession and sales management as an organizational function have undergone major changes that were driven by the evolutionary journey of the marketing discipline. The extant value cocreation paradigm is recrafting the purpose of selling. This paper explores the conceptual development of a selling paradigm that is more responsible to its customers. Specifically, in Business-to-Business (B2B) context, the cost of any selling behavior that compromises customer interest could be of disastrous proportions. Building on the theoretical foundations of self-regulation and job demands-resources theory, this paper develops a conceptual model of responsible selling by integrating self-leadership literature with the emerging paradigm of value-based selling. The conceptual model outlines several research propositions for empirical validation and discusses its potential implications for sales managers and sales organizations.     

Multiplicity of mixed equilibria in mechanisms: A unified approach to exact and approximate implementation

We characterize full implementation of social choice sets in mixed-strategy Bayesian equilibrium. Our results concern both exact and virtual mixed implementation. For exact implementation, we identify a strengthening of Bayesian monotonicity, which we refer to as mixed Bayesian monotonicity. It is shown that, in economic environments with at least three agents, mixed Bayesian implementation is equivalent to mixed Bayesian monotonicity, incentive compatibility and closure. For implementing a social choice function, the case of two-agents is also covered by these conditions and mixed Bayesian monotonicity reduces to Bayesian monotonicity. Following parallel steps, mixed virtual implementation is shown to be equivalent to mixed virtual monotonicity, incentive compatibility and closure. The key condition, mixed virtual monotonicity, is argued to be very weak. In particular, it is weaker than Abreu–Matsushima’s measurability, thereby implying that: (1) virtual implementation in mixed Bayesian equilibrium is more permissive than virtual implementation in iteratively undominated strategies, and (2) non-regular mechanisms are essential for the implementation of rules in that gap.     

Evaluation of critical constructs for measurement of sustainable supply chain practices in lean‐agile firms of Indian origin: A hybrid ISM‐ANP approach

The purpose of this paper is to evaluate the critical criteria that are influencing the successful implementation of sustainable supply chain practices (SSCP) in the lean‐agile manufacturing firm. From the systematic literature review and field professionals' opinion, various criteria that are influencing sustainable supply chain were identified. Data were collected from 16 experts and analysed by an integrated approach of “interpretive structural modeling (ISM) and analytic network process (ANP).” ISM methodology was utilized to get a hierarchical relationship between all criteria. Further, the input to the ANP matrices was taken from the output of ISM, and three organizations that differ in their principle of operation were ranked to find out the extent of implementation of SSCP in the Indian context. The obtained results indicate that “Information technology‐enabled system support (ITS), SC member's awareness and literacy (SAL), Societal issues (SIS), and Scarcity of natural resources (SNR)” were most significant constructs for successful implementation of SSCP for the case organizations.     

Chinese Lunar New Year effect in Asian stock markets, 1999–2012

This study investigates the Chinese Lunar New Year (CLNY) holiday effect in major Asian stock markets. These are China, Hong Kong, Japan, Malaysia, South Korea and Taiwan. For robustness test, India is also examined in this paper. Daily stock index returns for each market are analysed for the period of 01/09/1999 to 28/03/2012. Using an ARMA(1,1)-GARCH (1,1) model, we find that there is a significantly positive pre-CLNY holiday effect for all cases. The findings are robust for most cases with the exception of China. It is found that high pre-CLNY returns for China are rewards for high risk, whereas for the other markets, high returns are caused by unknown factors, other than the conditional risk.     

FORECASTING THE UK/US EXCHANGE RATE WITH DIVISIA MONETARY MODELS AND NEURAL NETWORKS

This paper compares the UK/US exchange rate forecasting performance of linear and nonlinear models based on monetary fundamentals, to a random walk (RW) model. Structural breaks are identified and taken into account. The exchange rate forecasting framework is also used for assessing the relative merits of the official Simple Sum and the weighted Divisia measures of money. Overall, there are four main findings. First, the majority of the models with fundamentals are able to beat the RW model in forecasting the UK/US exchange rate. Second, the most accurate forecasts of the UK/US exchange rate are obtained with a nonlinear model. Third, taking into account structural breaks reveals that the Divisia aggregate performs better than its Simple Sum counterpart. Finally, Divisia‐based models provide more accurate forecasts than Simple Sum‐based models provided they are constructed within a nonlinear framework.