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Pay, tenure and promotion decisions are frequently based upon inferences regarding the value of faculty research. Meanwhile, departmental, college and university reputations are frequently based on perceptions regarding the quality of research being produced by its faculty. Making correct inferences requires accurate measurement of research quality, which is often based upon the journal through which results are shared. This research expands upon the research found elsewhere through its detailed investigation of leading journals in two business disciplines, including examination of four different citation-based measures and four journal characteristics which are exogenous to the quality of any individual piece of research. The paper aims to discuss this issue.

This study assists in the development of an accurate perspective regarding research quality, by studying the popular Journal Citation Reports (JCR) impact factor. A further expansion on the past literature is consideration of three newer journal quality metrics: SCImago Journal Rank (SJR), Source Normalized Impact per Paper (SNIP) and percentage of articles cited. Top-tier journals in finance and information systems are compared to evaluate the consistency of these measures across disciplines. Differences in journal characteristics and their impact on citation-rate based measures of quality are also examined. The potential impact of discipline-based variation in acceptance rate, issue frequency, the time since journal inception and total reviewers are put forth as additional potential exogenous factors that may impact the perception of journal quality. t-Tests are employed for discipline comparisons, while correlation and multiple regression are used for journal characteristic analysis.

There is a significant difference in the JCR impact measures of high-quality finance journals vs high-quality information systems journals, which are correlated with a variety of journal-specific factors including the journal’s acceptance rate and frequency of issue. Information systems journals domination of finance journals persists whether one considers mean, median, minimum or maximum impact factors. SJR measures for finance journals are consistently higher than information systems journals, though the SJR value of any individual journal can be quite volatile. By comparison, the SNIP metric rates premier information systems journals higher. Over 12 percent more of the articles in leading information systems journals are cited during the initial three years.

Logical extensions of this research include examining journals in other business disciplines. One could also evaluate quality measures reaction to variation in journal characteristics (i.e. changes in acceptance rates). Furthermore, one could include other measures of journal quality, including the recently released CiteScore metric. Such research will build on the present research and improve the accuracy of research quality assessment.

To the extent that citation-based research measures and journal-specific factors vary across disciplines as demonstrated by our investigation, discipline-specific traits should be considered adjusted for, when making inferences about the long-term value of recently published research. For instance, finance faculty publishing in journals with JCR readings of 2.0 are in journals that are 53 percent above the discipline’s average, while information systems faculty publishing in journals with JCR readings of 2.0 are in journals that are 18 percent below the discipline’s average. Furthermore, discipline-specific differences in journal characteristics, leading to differences in citation-based quality measures, should be considered when making inferences about the long-term value of recently published research in the process of making recommendations regarding salary adjustments, retention and promotion.

Quantity and quality of research are two hallmarks of leading research institutions. Assessing research quality is very problematic because its definition has changed from being based on review process (i.e. blind refereed), to acceptance rates, to impact factors. Furthermore, the impact factor construct has been a lightning rod of controversy as researchers, administrators and journals themselves argue over which metric to employ. This research is attempting to assess how impact factors and journal characteristics may influence the impact factors, and how these interactions vary business discipline. The research is especially important and relevant to the authors which separately chair departments including finance and information systems faculty, and therefore are in roles requiring assessment of faculty research productivity including quality.

This study is a detailed analysis of bibliographic aspects of the top-tier journals in two quantitative business areas. In addition to the popular JCR, SJR and SNIP measures of performance, the analysis studies the seldom-examined percentage of the article cited metric. A deeper understanding of citation-based measures is obtained though the evaluation of changes in how journals have been rated on these metrics over time. The research shows that there are discipline-related systematic differences in both citation-based research measures and journal-specific factors and that these discipline-specific traits should be considered when making inferences about the long-term value of recently published research. Furthermore, discipline-specific difference in journal characteristics, leading to differences in citation-based quality measures, should be considered when making personnel and remuneration decisions.

Taking the discipline construction in colleges and universities as the application background, based on the research on data mining technology and decision support system technology, the data generated by university management information system are effectively utilized. The paper aims to discuss these issues.

Based on the Beijing Key Discipline Information Platform as the data source, the decision tree algorithm of data mining is studied. On the basis of decision tree C4.5, the Bayesian theory is applied to the post-pruning operation of the decision tree.

A decision tree post-pruning algorithm based on the Bayesian theory is studied and put forward in order to simplify the decision tree, which improves the generalization ability of the whole algorithm. Finally, the algorithm is used to build the prediction model of key disciplines. Combined with the decision support system architecture, data warehouse and the data mining algorithm constructed by university discipline, based on J2EE standard enterprise system specification, MVC model is applied. Moreover, a prototype system of decision support system for discipline construction in colleges and universities with browser/server (B/S) structure is completed and implemented.

A decision tree post-pruning algorithm based on the Bayesian theory is studied and put forward in order to simplify the decision tree, which improves the generalization ability of the whole algorithm. Finally, the algorithm is used to build the prediction model of key disciplines. Combined with the decision support system architecture, data warehouse and the data mining algorithm constructed by university discipline, based on J2EE standard enterprise system specification, MVC model is applied. Moreover, a prototype system of decision support system for discipline construction in colleges and universities with B/S structure is completed and implemented.

Chapter 6 synthesizes the psychophysics of sensation into a plausible model for the design and configuration of the learning engagement dimension of a learning system. In sensation, the task is to collect and review stochastic information collected from an external stimulus. In learning systems design, the task is the opposite: to design learning objects and activities that communicate the intended learning to the learner effectively and efficiently. The sensation systems focus their attention on the structure of the stimulus. Likewise, a psychophysical learning system emphasizes the interconnections within categories of content to configure the learning experiences. The curriculum embeds this information into a learning plan.

Close interaction between universities, industries, and governments has given rise to hybrid organizations incorporating economic development alongside scientific research and higher education. We will approach this phenomenon and the related organization-theoretical problems by looking at two cases of discipline making to discuss the potential of the concept of organizational field introduced by the neoinstitutionalist school of organization theory. As this concept presumes the Bourdieusian theory of social fields, we will consider possibilities of reflective contesting of the states of doxa in discipline making in regard to organizational aspects of disciplinary boundaries in the university-centered system of higher education, its demarcation to business and schooling, as well as to the related ideology of professionalism and science policy. We will also comment on the Bourdieusian conceptuality inscribed in the neoinstitutionalist metaphor of organizational field from the perspective of systems theory inspired by Luhmann. This is because we believe that further development of the semantic focus in the problem of disciplinary boundaries would benefit from Luhmannian tools designed to grasp organizations as social systems that facilitate interrelations of differentiated function systems relevant for discipline making in current technoscience.

States the steps of due process that employers must adhere to when the discipline system is invoked. Discusses the idea of “just cause” and covers Carroll R. Daughty’s codification of seven “tests applicable for learning whether employee had just and proper cause for disciplining an employee”. Distinguishes between the progressive discipline system and the affirmative discipline system covering equality of treatment in particular. Concludes that a bad or misunderstood system is worse than no system at all and urges companies to make sure the policy they meets their requirements.

The socialist political economy with Chinese characteristics is a systematic economic discipline, which theoretically summarises the socialist economic system and the path of economic development with Chinese characteristics. It is a systematic economic theory of adapting Marxism to the Chinese context. The theoretical system construction for the discipline of socialist political economy with Chinese characteristics is currently a major task.

From the perspective of disciplinary cognition, the theoretical system of the discipline of socialist political economy with Chinese characteristics includes the disciplinary attributes and connotations, theoretical basis, the origin of thoughts, major principles, logical starting point, main logic and problem-based study of major theoretical and practical issues.

Developing the discipline and building the theoretical system of the socialist political economy with Chinese characteristics, several major principles should be adhered to, including building the socialist political economy with Chinese characteristics on the basis of historical materialism; building the theoretical paradigm of socialist political economy with Chinese characteristics around the analysis of production relations; adhering to the people-centred principle; taking common prosperity as the main logic of the socialist political economy with Chinese characteristics; studying the major theoretical and practical issues of building the socialism with Chinese characteristics in the new era based on problems; and reflecting the innovative development of the discipline in the textbook, The Socialist Political Economy with Chinese Characteristics.

Disciplinary cognition involves the connotations, attributes, mission and development path of the discipline, which is related to how to construct the discipline system and is a significant part of the disciplinary construction.

The purpose of this paper is first, to develop a methodological framework for conducting a comprehensive literature review on an empirical phenomenon based on a vast amount of papers published. Second, to use this framework to gain an understanding of the current state of the enterprise resource planning (ERP) research field, and third, based on the literature review, to develop a conceptual framework identifying areas of concern with regard to ERP systems.

Abstracts from 885 peer‐reviewed journal publications from 2000 to 2009 have been analysed according to journal, authors and year of publication, and further categorised into research discipline, research topic and methods used, using the structured methodological framework.

The body of academic knowledge about ERP systems has reached a certain maturity and several different research disciplines have contributed to the field from different points of view using different methods, showing that the ERP research field is very much an interdisciplinary field. It demonstrates that the number of ERP publications has decreased, and it indicates that the academic interest in ERP is driven by an interest in an empirical phenomenon rather than that ERP is a new research discipline. Different research topics of interest are identified and used in developing a conceptual framework for “areas of concern” regarding ERP systems. Finally the usefulness of the framework is confirmed by analysing one specific aspect of ERP research; business process reengineering (BPR) to establish which theories different authors and journals have used in their efforts to explore BPR and ERP.

The findings of the literature study, the structured methodological framework for comprehensive literature review and the conceptual framework identifying different areas of concern are believed to be useful for other researchers in their effort to obtain an overview of the evolution of the ERP research field and in positioning their own ERP research.

The paper provides guidance for researchers with insight into what has been published, where to publish ERP‐related research and how to study it, and in positioning their own interest in ERP systems in the interdisciplinary research field. Access to the EndNote database containing bibliographical data of more than 880 papers can be used in future research and literature analysis. For managers, the conceptual framework can be useful in increasing their understanding of the complexity and areas of concern with regard to the ERP system.

The paper presents a structured methodological framework for analysing a vast amount of academic publications with an interest in an empirical phenomenon, demonstration of how academic interdisciplinary interest in ERP has evolved over time and reached a certain amount of maturity and a conceptual framework of areas of concern with regard to ERP systems.

In this chapter, we argue that the growth of punitive school discipline in US schools has created an inequitable system of school punishment that is reflective of the development of the school-to-prison pipeline and the establishment of an educational “total institution.” Current school discipline practices negatively affect student academic growth in the classroom as a result of an increase in suspensions and expulsions. Data in this chapter exemplify the overreliance on punitive school discipline in one urban school to address behavioral issues and also further expand on the concept of school-to-prison pipeline using the “total institution” theory of command and control of a population proposed by Goffman (1961). We argue that there are more effective measures of school discipline and seek to provide alternate possibilities for school leaders to address the draconian treatment of Black and brown boys in today’s traditional public school environments.

The debate about the emerging discipline of IS has been continuing at least since Banville and Landry questioned the possibility of “disciplining” MIS in 1989. Recent papers such as those in the book by Mingers and Stowell introduce fresh viewpoints and reopen the discussion along a new frontier. It would appear that an ontological framework to define a discipline could assist in making sense of what it is that information systems are all about. To this end, we develop a framework which derives from Heidegger’s concept of a regional ontology informed by the fundamental ontology of Dasein. This framework draws from Heidegger’s work and contends that a discipline also has Dasein’s kind of being. Following Heidegger, we arrive at a static model of a discipline in which the two constitutive parts are the cultural structure and the context of significance. A discipline is a totality, which emerges from and integrates these two components which are simultaneously irreducible to one another, and nonseparable in the whole. We then utilise Heidegger’s four ways of being, to show how change in a discipline can be incorporated in the framework. Finally, we reflect on how the framework could contribute towards the understanding of the discipline of information systems.

With the continuous change of research contents and methods of intelligence science, its integration with other disciplines is also deepening. The purpose of this paper is to further explore the interdisciplinary research characteristics of intelligence science in theoretical depth and application value.

This paper summarizes and explores in two aspects. The first is a large number of literature review, mainly combined with the historical characteristics of the development of intelligence science researches in China and international comparison. The second is to refine the discipline construction ideas suitable for the development of contemporary intelligence science.

From the perspective of the historical development of discipline relevance, the development characteristics and positioning of intelligence science in China are introduced, with the comparison of many disciplines including information technology, library science, information science, data science, management science and other disciplines. In order to better meet the practical needs of intelligence service in the new era, this paper mainly analyzes the construction method of intelligence science research system and the relocation of intelligence science research content.

This paper summarizes the historical characteristics and international comparison of the development of intelligence science in China. It proposes the development characteristics and orientation of intelligence science in China from the perspective of historical development of discipline relevance. It also proposes the discipline construction ideas suitable for the development of contemporary intelligence science.