Cooperation strategies in port-oriented bulk supply chains: aligning concept and practice

It seems intuitively obvious that firms in supply chains may have more to gain than to lose from learning to cooperate; but it is now more than two decades since Poirier [1999. Advanced Supply Chain Management. San Francisco, CA: Barrett-Koehler] and others called for cooperation in order to capture mutual gains in supply networks and even now ‘cooperation is neither common nor easy’. The simple fact is that not only are supply chains exceptionally complex but so too is the ‘process of cooperating’ – often in the context of antitrust legislation and competition policy. This paper argues that there is a critical need to rethink the principles and processes of cooperation within the broader framework of the competitive behaviour of firms and business strategy. Particularly, it suggests that the relatively recent thinking of Greenwald and Kahn [2005 Greenwald, B., and J. Kahn. 2005. Competition Demystified A Radically Simplified Approach to Business Strategy. New York, NY: Portfolio, The Penguin Group. [Google Scholar]. Competition Demystified A Radically Simplified Approach to Business Strategy. New York, NY: Portfolio, The Penguin Group] in their ‘radically simplified approach to business strategy’ offers sound conceptual insights into cooperation and cooperative strategies for firms not only in markets but also in chains. Furthermore, it notes that the analytical framework for cooperation and cooperative strategies which the authors develop is far removed from the notion of cooperation as ‘commitment and trust and shared thinking’ and from ‘buyer/seller reciprocity’ and ‘collaborative attitudes’ which tend to underwrite much contemporary thinking and research. The paper also argues that the Greenwald and Kahn framework – its single intelligence model of cooperation and cooperative strategies – resonates with real-world relevance, at least for particular supply chains. The paper focuses attention on research into globally significant export coal chains from major east coast Australian ports and in brief case studies finds substantial alignment between concept and practice.     

基于IAD延伸决策模型的农户征地意愿研究

基于奥斯特罗姆IAD模型的延伸框架,通过广东省21个市(县)2013年的调查数据,首先运用二元logistic整体回归模型对征地制度改革中农户的征地意愿进行研究,进而发现细分已征地农户与未征地农户的意愿差异并差别分析的必要。研究结果显示:除了一般的户主特征变量、征地补偿标准变量外,程序变量和认知改革变量对已征地和未征地农户的征地意愿影响尤其显著,但二者在近乎均质的行动舞台中,基于对事前最终行动结果信息的感知和预测,在征地意愿上表现出了不同的变量特征,数据分析表明未征地农户是以征地农户的最终行动结果(决策前)作为决策参照,以制定激励和预期收益调整征地意愿决策。另外,回归模型显示在征地意愿的影响因素中,程序公正(协议征地)要优于货币补偿,农户对土地财产性权利分配的关切不是征地制度改革自身所能解决的。     

以大数据推动城市智慧化发展的创新性规划

以充足数据为基础的城市规划更趋坚定、合理、科学。大大降低了城市运作的风险,提升了居民生活的幸福指数。     

Salesperson Resistance to Sharing Market Intelligence in Sub-Saharan Africa

This article presents a framework for exploring salesperson(s) resistance to sharing market intelligence in emerging markets in Sub-Saharan Africa. The authors propose that resistance to sharing market intelligence with relevant others, including the firm, coworkers, intermediaries, and sales managers, is a function of various individual, leadership, and organizational (firm) factors. This framework helps researchers understand how and why resistance develops among salespeople. Moreover, implications from these findings are presented to assist practitioners who wish to persuade and encourage African salespeople to share market intelligence for the benefit of their firms.     

基于商业智能的CRM

基于商业智能的CRM能实现数据分析和知识发现 ,可帮助企业将其所掌握的客户数据转换成客户知识 ,这对企业制订客户发展策略将起到关键作用 ,并将极大地提高企业决策能力、决策效率及决策正确性 ,针对不同客户提供不同的服务     

Far from the madding crowd: collective wisdom in prediction markets

We investigate market selection and bet pricing in a repeated prediction market model. We derive the conditions for long-run survival of more than one agent (the crowd) and quantify the information content of prevailing prices in the case of fractional Kelly traders with heterogeneous beliefs. It turns out that, apart some non-generic situations, prices do not converge, neither almost surely nor on average, to true probabilities, nor are they always nearer to the truth than the beliefs of all surviving agents. This implies that, in general, prediction market prices are not maximum likelihood estimators of the true probabilities. However, when more than one agent survives, the average price emerging from a prediction market approximates the true probability with lower information loss than any individual belief.     

Engaging and retaining customers with AI and employee service

Artificial intelligence (AI) permeates in service organisations as a tool to enhance operational efficiency and improve customer experience. Reports show that most consumers prefer human interactions with service employees. Drawing on this observation, the current study examines how customers' service experiences with employees and AI influence customer engagement and loyalty. Customers’ emotional intelligence is proposed as a moderator between service experience and customer engagement. The study was conducted with hotel customers in Australia. The results show that whilst both service experience with employees and AI are significantly related to customer engagement and loyalty, only certain dimensions make significant unique variances in the outcome variables. The findings indicate that customers prefer employee service. These service experiences also have significant partial mediation effects on customer loyalty. Emotional intelligence has a significant moderation effect on customer engagement. Discussion of these findings and implications derived from this study concludes this paper.     

大数据、人工智能与厂商竞争路径

经济学对市场竞争路径的学理性分析，主要集中在价格确定、产量确定、规模经济、产业组织等方面，而对科技进步引发市场竞争路径的变化并没有足够的关注。其实，市场竞争路径变化的底蕴是科技进步，只是经济学家在分析市场竞争路径时偏好于将科技因素作为外生变量处理。大数据和人工智能等的发展可谓是一场史无前例的科技革命，它对人类经济活动产生广泛而深刻的影响主要表现为：大数据及其运用怎样影响厂商投资经营，大数据与机器学习等人工智能手段相融合会在哪些方面改变厂商竞争路径，厂商如何提高数据智能化和实现网络协同化，在什么样的条件下会出现行业垄断，等等。文章的基本分析观点是：厂商竞争路径变化是贯穿于大数据、互联网和人工智能等相互融合过程的一种现象，这种现象对应于新科技进步和运用的不同层级；微观经济分析需要将新科技因素作为内生变量，通过分析大数据、机器学习与厂商竞争路径之间的关联，揭示厂商竞争路径变化机理以及由此引致的产业组织等问题。     

Optimal capacity and operation design of a robot logistics system for the hotel industry

This study introduces an optimal capacity and operation design of a robot logistics system that can reduce human workload in the hotel industry. In hotels, there are several duties that can be replaced by robots such as accompanying guests to the certain areas, delivering specific items to the guest rooms, and transporting some items that guests want to be removed from the guest rooms. To apply the robot logistics system in the hotel industry, the capacity and operation design should be prepared adequately. For that, a mathematical model-based optimization technique is used to decide the number of robots with the concept of minimizing total investment cost and to derive the optimal job assigning with the purpose of maximizing total covered jobs. In addition, a numerical example is performed to validate the proposed mathematical model and the sensitivity tests are examined to reflect the random features.     

Siri,Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications

ABSTRACT

Digital assistants (e.g., Apple’s Siri, Amazon’s Alexa, Google’s Google Assistant) are highly complex and advanced artificial intelligence (AI) based technologies. Individuals can use digital assistants to perform basic personal tasks as well as for more advanced capabilities. Yet, the functional and topical use of a digital assistant tends to vary by individual. This study reflects the contextual experiences of the respondents. At present, there is little empirical evidence of customer satisfaction with digital assistants. PLS-SEM was used to analyse 244 survey responses to examine this research gap. The results confirmed that expectations and confirmation of expectations have a positive and significant relationship on customer satisfaction with digital assistants. This study provides evidence that customer expectations are being satisfied through the digital assistant interaction experience. As firms integrate digital assistants into their operations, they must help customers properly define what to expect from the firm’s interactive experience.