Building relationship innovation in global collaborative partnerships: big data analytics and traditional organizational powers

This study examines how relationship innovation can be developed in global collaborative partnerships (alliances, joint ventures, mergers, and acquisitions). The recently emerging theory of big data analytics linked with traditional organizational powers has attracted a growing interest, but surprisingly little research has been devoted to this important and complex topic. Therefore, after developing the theoretical foundations, our study empirically quantifies the links between the theoretical constructs based on the data collected from chief executive officers, managing directors, and heads of departments who work in contemporary global data‐and‐information driven collaborative partnerships. The results from structural equation modeling indicate that the relationship innovation depends on the power of big data analytics and non‐mediated powers (NMP, expert and referent). The power of big data analytics also mediates the correlation between NMP and relationship innovation. However, mediated powers (coercive and manipulative) negatively affect the power of big data analytics and relationship innovation. The interaction effects further depict that analytically powered partnerships have better relationship innovation compared with those which focus less on the analytical power. Consequently, the contributions of this study provide a deeper understanding of mechanisms of how modern collaborative partnerships can use big data analytics and traditional organizational powers to co‐create relationship innovation.     

Balancing social and political strategies in emerging markets: Evidence from India

This article explores the substitution and complementary effects between political and social strategies on firm performance in the context of an emerging market (EM). Using in‐depth, historical case‐study approach, the article investigates how companies integrate political and social resources in this market. Corporate performance includes traditional measures, such as accounting performance and nonfinancial measures like the ease of doing business. The study finds that social strategies are stronger enablers of firm long‐term performance than political strategies. The latter have a short‐term impact on performance, but their success over time is limited. The main drawback of reliance on political resources in EMs is the lack of political stability, fragmented polity, and weak political coalitions. We identify rather limited evidence of firms using these two strategies as complements. Thus, we suggest that firms should employ both these strategies in the EM.     

Noise Trading and the Management of Operational Risk; Firms,Traders and Irrationality in Financial Markets*

abstract Efficient market models cannot explain the high level of trading in financial markets in terms of asset portfolio adjustment. It is presumed that much of this excessive trading is irrational ‘noise’ trading. A corollary is that there must either be irrational traders in the market or rational traders with irrational aberrations. The paper reviews the various attempts to explain noise trading in the finance literature, concluding that the persistence of irrationality is not well explained. Data from a study of 118 traders in four large investment banks are presented to advance reasons why traders might seek to trade more frequently than financial models predict. The argument is advanced that trades do not simply occur in order to generate profit, but it does not follow that such trading is irrational. Trading may generate information, accelerate learning, create commitments and enhance social capital, all of which sustain traders' long term survival in the market. The paper treats noise trading as a form of operational risk facing firms operating in financial markets and discusses approaches to the management of such risk.     

An Exploratory Study of Regulatory Failure in the Australian Home Mortgage Market

Regulators have long been interested in protecting consumers borrowing for a home as it is likely the single greatest financial obligation they will undertake. In this paper we examine the approach taken in Australia to mandating the disclosure of simple comparison data to reduce the complexity involved in the home loan decision. This article highlights that while the form of the legislated disclosure significantly improves decision accuracy, the failure of the regulator to account for the consumer's purchase behavior and lenders' motivations has undermined its effectiveness. We provide a number of recommendations for how to rectify these failings, principally that regulators need to consider the role of borrower information search and lender motivation as part of any regulatory reform.     

Business models and their relationship with marketing: A systematic literature review

The purpose of this paper is to identify the degree to which the marketing discipline has hitherto engaged with business model literature. The results of a systematic review of business model literature are presented and utilise both the citation counts and the h-index to objectively demonstrate the limited engagement that the marketing discipline has had with business model literature, and the limited degree that the discipline has influenced that literature. The key findings reveal a growing, but formative body of literature that, hitherto, has been dominated by non-marketing disciplines and which has only just begun to be addressed by present day marketing scholars. Using the most influential articles identified in the analysis, the paper concludes with a case for the empirical development of the business model concept with industrial marketing scholarship. Such development is argued to be grounded in the potential of open business models, co-created with multiple stakeholders in a supply chain and the end users of a value proposition.     

Costs and benefits of housing subsidies to tenants from voluntary and involuntary rent control: a comparison between tenures and income groups

This paper estimates the economic subsides to housing for different groups using the 1988 Joseph Rowntree Memorial Trust sample survey of households.An Olsen type model is used to estimate consumber surplus to households from subsidized housing.These estimates are compared to costs, and housing services in the owner occupier market. Poorer families receive larger benefits than richer families. Transfer efficiency is not high; but the local authority sector receives the greatest benefits from controlled rents.     

Towards equilibrium offers in unit commitment auctions with nonconvex costs

We compare two types of uniform-price auction formats commonly used in wholesale electricity markets—centrally committed and self-committed markets. Auctions in both markets are conducted by an independent system operator that collects generator bids and determines which generators will operate and how much electricity each will produce. In centrally committed markets, generators submit two-part bids consisting of a startup cost and a variable energy cost. Self-committed markets force generators to incorporate their startup costs into a one-part energy bid. The system operator in a centrally committed system ensures that each generator recovers the startup and energy costs stated in its two-part bid, while no such guarantees are made in self-committed markets. The energy cost ranking and incentive properties of these market designs remains an open question. While the system operator can determine the most efficient dispatch with a centralized market, the auction mechanism used to solicit generator data compels generators to overstate costs. Self commitment might involve less efficient dispatch but have better incentive properties. We derive Nash equilibria for both market designs in a symmetric duopoly setting. We also derive simple conditions under which the two market designs will be expected cost-equivalent.     

Why Are Managed Care Plans Less Expensive: Risk Selection,Utilization, or Reimbursement?

This article develops a new method of decomposing the cost difference between HMO and non‐HMO plans into observed risk selection, unobserved risk selection, utilization differences, and differences in provider reimbursement rates. We implement this method using a large national sample of employer‐sponsored health insurance enrollees from the Community Tracking Study Household Survey. We find no evidence that HMO plans attract a disproportionate share of low‐risk enrollees; the US$188 difference between HMO and non‐HMO medical expenditures per enrollee can be explained by the relatively low provider reimbursement rates paid by HMO plans. This indicates there may be little need for employers to risk adjust insurance premiums or otherwise restrict employee choice of plan types.