Outcome-based contracts as new business model: The role of partnership and value-driven relational assets

This paper investigates the new business model of outcome-based contracts where the firm is tasked to achieve outcomes of equipment as a service contract instead of the traditional maintenance, repair and overhaul activities (e.g., power-by-the-hour® engine service contract). Through a qualitative study of two outcome-based contracts between BAE Systems, MBDA and the UK Ministry of Defence, we derive three value drivers of information, material and people transformation. Mapping it with transaction cost literature we propose five relational assets based on the value drivers; three value-driven alignments and two partnership inputs. We then study the relationships between the relational assets and contract performance through a quantitative survey by applying the partial least square (PLS) method. Our study shows that behavioral and information alignments are important to achieve outcomes. However, material and equipment alignment (i.e., joint supply chain) does not have a significant effect on contract performance. In addition, perceived control and empowerment mediated the relationship between partnership inputs and value-driven alignments. Our study provides a more integrated view of how various theoretical management domains overlap in the understanding of business models, and contribute to the understanding of value drivers and partnership factors in achieving performance in outcome-based contracts.     

An exact non-iterative sampling procedure for discrete missing data problems

Many statistical problems can be formulated as discrete missing data problems (MDPs). Examples include change-point problems, capture and recapture models, sample survey with non-response, zero-inflated Poisson models, medical screening/diagnostic tests and bioassay. This paper proposes an exact non-iterative sampling algorithm to obtain independently and identically distributed (i.i.d.) samples from posterior distribution in discrete MDPs. The new algorithm is essentially a conditional sampling, thus completely avoiding problems of convergence and slow convergence in iterative algorithms such as Markov chain Monte Carlo. Different from the general inverse Bayes formulae (IBF) sampler of Tan, Tian and Ng (Statistica Sinica, 13 , 2003, 625), the implementation of the new algorithm requires neither the expectation maximization nor the sampling importance resampling algorithms. The key idea is to first utilize the sampling-wise IBF to derive the conditional distribution of the missing data given the observed data, and then to draw i.i.d. samples from the complete-data posterior distribution. We first illustrate the method with a performing example and then apply the method to contingency tables with one supplemental margin for an human immunodeficiency virus study.     

Effects of Employee Support on Junior Accountants' Job Attitudes and Intention to Quit

This study examines the effects of four types of employee support on a sample of 231 junior accountants' organisational commitment, job involvement and intention to quit. The four types of support include organisational, supervisory, psycho-social and career development support. Results of path analysis suggest that only organisational support and psycho-social support influence organisational commitment which, in turn, increases job involvement and reduces intention to quit.     

A feasibility study of stateful automaton packet inspection for streaming application detection systems

The rapid development of the internet has brought huge benefits and social impacts; however, internet security has also become a great problem for users, since traditional approaches to packet classification cannot achieve satisfactory detection performance due to their low accuracy and efficiency. In this paper, a new stateful packet inspection method is introduced, which can be embedded in the network gateway and used by a streaming application detection system. This new detection method leverages the inexact automaton approach, using part of the header field and part of the application layer data of a packet. Based on this approach, an advanced detection system is proposed for streaming applications. The workflow of the system involves two stages: the training stage and the detection stage. In the training stage, the system initially captures characteristic patterns from a set of application packet flows. After this training is completed, the detection stage allows the user to detect the target application by capturing new application flows. This new detection approach is also evaluated using experimental analysis; the results of this analysis show that this new approach not only simplifies the management of the state detection system, but also improves the accuracy of data flow detection, making it feasible for real-world network applications.     

Information acquisition and institutions: An organizational perspective

Using a World Bank survey of Chinese firms, I construct a set of measures to capture the extent to which a firm involves outsiders in information acquisition. I find that firms that outsource more are not more likely to involve outsiders in acquiring information. Weakening contracting institutions raises the difficulty of safeguarding information leakage, more so when a firm involves outsiders in information acquisition than when no outsiders are involved. I test this prediction and find that firms under weaker contracting institutions are significantly less likely to involve outsiders in information acquisition.     

正确押注创新

正市场依旧变化无常,想要实现发展目标难上加难。但是,最佳创新企业无论是在顺境还是逆境中,都在市场上遥遥领先。他们制定清晰的创新战略,在探索期就筛选创意,并将资源投入到最有发展前景的创意上。他们怎么做到的?     

Does Corporate Headquarters Location Matter for Firm Capital Structure?

This paper studies the impact of corporate headquarters location on capital structure policies. We show that firms exhibit conformity in their financing policies to those of geographically proximate firms and that the location of corporate headquarters helps explain the cross‐sectional variation of capital structure in the United States. The location effect is robust to local credit market conditions and to state laws on corporate takeover and payout restrictions. The results suggest that noneconomic factors, such as local culture and social interactions among corporate executives, play a significant role in influencing corporate financial policies of firms headquartered in the same metropolitan area.     

Australia’s ‘two-strikes’ rule and the pay-performance link: Are shareholders judicious?

To improve accountability of executive compensation, Australia introduced the ‘say-on-pay’ legislation in 2011, which is widely known as the ‘two-strikes’ rule. We investigate the consequences of this new rule for the pay-performance link in Australian firms. Employing a matched-pair design, we find that pay changes of the chief executive officer and the key management personnel were not significantly positively related to the stock returns of the firms that registered a ‘first strike’ in 2011 under the ‘two-strikes’ rule. However, the relations improved significantly in 2012. Our results also suggest that the shareholders of the ‘first-strike’ firms may have been over-enthusiastic about their voting power in 2011 but exercised this power more judiciously in 2012. Our findings provide important insights for the global debate on governance of executive compensation.