Teaching HRM in contemporary hospitality management: a case study drawing on HR analytics and big data analysis

In this article, we discuss how hospitality students can leverage new technology and new HRM metrics from a combination of a traditional format case study and innovative data spreadsheets. We offer a teaching case study that combines the strategic dimensions of HRM with practice-driven data analysis anchored in HR analytics and HR big data mining. We argue that this combination helps identify, develop, and promote appropriate managerial skills among students.     

信用管理在新兴产业发展中的作用探讨

通过对新兴产业企业、商业银行的融资状况进行调查,分析新兴产业企业目前的信用管理现状,商业银行对新兴产业开展信用评级的指标及内容等,以此推断泰州市新兴产业的信用管理状况。再结合当前经济发展实际,提出政府、新兴产业企业、商业银行三方联动的信用管理对策,推动新兴产业的可持续发展。     

Exploring the structure and meaning of public service motivation in the Turkish public sector: a test of the mediating effects of job characteristics

Using a data set consisting of 315 middle-managers at the district level in the Turkish public sector, we develop a structural equation model (SEM) for assessing the impact of empowerment and stewardship on public service motivation (PSM) through job characteristics. The results demonstrate that stewardship and empowerment are distinct ‘levers’ that managers can use in novel ways to influence PSM; and cultural context may factor into the manipulation of these levers. We find that job-based mediators may not compliment leadership styles and self-generating rewards, but, rather work separately in their appeal to PSM.     

Knowledge Management in Supply Chains: The Role of Explicit and Tacit Knowledge

We theorize, building on the knowledge‐based view and the theoretical distinction between explicit and tacit knowledge, that knowledge management capability across the supply chain manifests itself in explicit and tacit knowledge, which in turn effectuates supply chain performance. The model is tested with survey data from 195 small‐ and medium‐sized enterprises reporting on their primary supply chain. The results indicate that the supply chain's knowledge management capability manifests itself in both explicit and tacit knowledge, with the latter being influenced more strongly. Moreover, it was found that while both explicit and tacit knowledge influence supply chain performance, the latter exerts a significantly greater impact than the former. Exploratory post hoc analyses add robustness to these findings and investigate mechanisms inherent to the transformation of tacit into explicit knowledge. Overall, this research contributes to academic theory development in logistics and supply chain management by the dichotomization of knowledge types and the demonstration of their differential magnitude of effects, and to managerial practice by providing important guidance for logistics managers structuring their knowledge management efforts across supply chains.     

基于公共预算视角的三公经费管理问题及优化治理

三公经费管理作为反映财政预算单位拨款支出的活动,在财政预算管理体系中占有重要地位。通过研究三公经费管理中存在的弊端,解读公共预算在三公经费管理活动中所起的实质作用,进而提出规范优化治理的对策。从公共预算管理的角度阐述三公经费,寻求实现三公经费公开的解决对策。     

Strategic Drift and Strategic Crisis Management of Organization

The research reports how the choice of the organization behavior--strategic drift can lead to strategic crisis as a form of manifestation of a deepening organizational crisis. The research questions whose solution is sought are connected with the relation of strategic drift--strategic crisis--strategic crisis management, in terms of whether the errors in the process of strategic management lead to organizational crises. The results of the historical analysis of the theoretical research and practice in this field show the interdependence among these processes and the reasons for strategic crisis in support of the concept of strategic crisis management and its implementation in business. The study outlines the evolution of the theory of strategic drift, as well as opinions of various scientists on the types of crises, which are perceived as a uniform classification and universal interpretation of the term ＂strategic crisis＂. The organization＇s ＂strategic drift＂ leads to serious organizational crisis which first form that strategic crisis. Practice shows that the management of market leaders often leads to complacency, choosing strategy stability. Soon, as a result of aggressive strategies or implemented innovations of their competitors, they lose their competitive position.     

Nondiscretionary residential water use: the impact of habits and water‐efficient technologies

Several studies published in the last few decades have demonstrated a low price‐elasticity for residential water use. In particular, it has been shown that there is a quantity of water demanded that remains constant regardless of prices and other economic factors. In this research, we characterise residential water demand based on a Stone‐Geary utility function. This specification is not only theory‐compatible but can also explicitly model a minimum level of consumption not dependent on prices or income. This is described as minimum threshold or nondiscretionary water use. Additionally, the Stone‐Geary framework is used to model the subsistence level of water consumption that is dependent on the temporal evolution of consumer habits and stock of physical capital. The main aim of this study is to analyse the impact of water‐saving habits and water‐efficient technologies on residential water demand, while additionally focusing attention on nondiscretionary uses. This is informed by an empirical application using data from a survey conducted among residents of Brisbane City Council, Australia. The results will be especially useful in the design of water tariffs and other water‐saving policies.     

Design and development of inventory knowledge discovery system

Inventory management (IM) performance is affected by the forecasting accuracy of both demand and supply. In this paper, an inventory knowledge discovery system (IKDS) is designed and developed to forecast and acquire knowledge among variables for demand forecasting. In IKDS, the TREes PArroting Networks (TREPAN) algorithm is used to extract knowledge from trained networks in the form of decision trees which can be used to understand previously unknown relationships between the input variables so as to improve the forecasting performance for IM. The experimental results show that the forecasting accuracy using TREPAN is superior to traditional methods like moving average and autoregressive integrated moving average. In addition, the knowledge extracted from IKDS is represented in a comprehensible way and can be used to facilitate human decision-making.     

基于GIS的工商管理信息系统的设计与实现

由于我国的工商管理涉及的地域较为广泛,而且业务流程极其复杂繁琐,尤其是基层工商管理部门,面对的营业户口不仅数量巨大,而且区域也十分广泛。所以,这就对我国的工商管理信息系统提出了较高的要求,需要为工商管理部门提供完善而科学的管理。因此,可以通过GIS来进行电子信息管理。文中就如何设计出基于GIS的工商管理信息系统进行了讨论。