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Mergers and acquisitions occur frequently in organizations, but rarely achieve their desired financial and strategic objectives. Personal experience gained in more than 50 corporate combinations shows that many factors account for the dismal track record of mergers and acquisitions, including underestimating the multitude of integration issues and problems that arise as organizations come together and the pervasiveness and depth of human and cultural issues triggered in a combination. These dynamics have been found in combinations involving organizations of all sizes, in all industry sectors and across international boundaries. Reviews the human, organizational and cultural dynamics affecting mergers and acquisitions, and reports recent trends influencing interventions to enhance merger and acquisition success. Describes consulting approaches and methods required to minimize employee stress, management crisis and culture clash and to enhance the desired financial and strategic results of mergers and acquisitions.

Hardgrove grindability index (HGI) is an important physical parameter used to demonstrate the relative hardness of coal particles. Modeling of HGI based on coal conventional properties is a quite complicated procedure. The paper aims to develop a new accurate model for prediction of HGI that is called optimized evolutionary neural network (OPENN).

The procedure for generation of the proposed OPENN predictive model was performed in two stages. In the first stage, as the high dimensionality involved in the input space, a correlation-based feature selection (CFS) algorithm was used to select the most important influencing variables for HGI prediction. In the second stage, a combination of differential evolution (DE) and biography-based optimization (BBO) algorithms as a global search method were applied to evolve weights of a multi-layer perception neural network.

The proposed OPENN was examined and compared with other typical models using a wide range of Kentucky coal samples. The testing results showed that the accuracy of the proposed OPENN model is significantly better than the other typical models and can be considered as a promising alternative for HGI prediction.

As HGI test is relatively expensive procedure, there is an economical interest on HGI modeling based on coal conventional properties (proximate, ultimate and petrography); the proposed OPENN model to estimate HGI would be a valuable and practical tool for coal industry.

Health care organizations and hospitals in particular are highly resistant to change. The reasons for this are rooted in professional role behaviors, hierarchical structures and the influence of hidden curricula that inform organizational culture. Action research (AR) has been identified as a promising bottom-up approach that has the potential to address the significant barriers to change. However, to date no systematic review of the field in health care exists. The paper aims to discuss these issues.

A systematic review of the literature was conducted. Studies were reviewed with regard to the four stages of AR; problem identification, planning, implementation and evaluation.

Only 19 studies were identified that fit the inclusion criteria. Results revealed significant heterogeneity with regard to theoretical background, methodology employed and evaluation methods used.

Only studies published and written in the English language were included.

The field of AR interventions would benefit from a theoretical framework that has the ability to guide the methodology and evaluation processes.

This is the first systematic review of AR in hospitals.

Recent years have seen the market opportunity for innovative bioscience products grow rapidly. For instance, the human clinical diagnostics field is now a $17 billion world‐wide market, and in specific sectors, such as point of care (POC) and over the counter (OTC), there is an increasing emphasis on novel device and chemistry design. Pharmaceuticals is an even more massive $200 billion market world‐wide, where major opportunities for innovative products lie in combinations of pharmaceuticals with diagnostics and in advanced drug delivery systems.

This paper aims to develop a framework for critical information infrastructure (CII) protection in smart government, an alternative measure for common cybersecurity frameworks such as NIST Cybersecurity Framework and ISO 27001. Smart government is defined as the government administration sector of CII due to its similarity as a core of smart technology.

To ensure the validity of the data, the research methodology used in this paper follows the predicting malfunctions in socio-technical systems (PreMiSTS) approach, a variation of the socio-technical system (STS) approach specifically designed to predict potential issues in the STS. In this study, PreMiSTS was enriched with observation and systematic literature review as its main data collection method, thematic analysis and validation by experts using fuzzy Delphi method (FDM).

The proposed CII protection framework comprises several dimensions: objectives, interdependency, functions, risk management, resources and governance. For all those dimensions, there are 20 elements and 41 variables.

This framework can be an alternative guideline for CII protection in smart government, particularly in government administration services.

The author uses PreMiSTS, a socio-technical approach combined with thematic analysis and FDM, to design a security framework for CII protection. This combination was designed as a mixed-method approach to improve the likelihood of success in an IT project.

Although extensive research exists regarding job satisfaction, many previous studies used a more restrictive, quantitative methodology. The purpose of this qualitative study is to capture the perceptions of hospital nurses within generational cohorts regarding their work satisfaction.

A preliminary qualitative, phenomenological study design explored hospital nurses’ work satisfaction within generational cohorts – Baby Boomers (1946-1964), Generation X (1965-1980) and Millennials (1981-2000). A South Florida hospital provided the venue for the research. In all, 15 full-time staff nurses, segmented into generational cohorts, participated in personal interviews to determine themes related to seven established factors of work satisfaction: pay, autonomy, task requirements, administration, doctor–nurse relationship, interaction and professional status.

An analysis of the transcribed interviews confirmed the importance of the seven factors of job satisfaction. Similarities and differences between the generational cohorts related to a combination of stages of life and generational attributes.

The results of any qualitative research relate only to the specific venue studied and are not generalizable. However, the information gleaned from this study is transferable and other organizations are encouraged to conduct their own research and compare the results.

This study is unique, as the seven factors from an extensively used and highly respected quantitative research instrument were applied as the basis for this qualitative inquiry into generational cohort job satisfaction in a hospital setting.

The purpose of this paper is to inquire into the history of government accounting, using a well-grounded periodisation, in order to provide a chronology of government accounting development (GAD) in Indonesia from 1845 to 2015 focusing on development on accounting regulations and systems and practices in local government in Indonesia.

It collects archival data and then uses a descriptive tradition of research to capture mainly regulatory changes affecting GAD from colonial to post-colonial period.

The paper reports major regulatory changes, evolution in local government accounting practice, development of government accounting standards (GASt) and converging GASs with international standards.

This study is important to accounting historians and other academics because it provides a detailed chronicle of accounting regulatory changes in Indonesia which can be used for future research. The limitation(s) of this study is that is data collection which was not easily accessible and as results have to rely on various sources.

The study has an important practical implication. It has produced a time series register of regulatory changes affecting GAD in Indonesia. It can be used as a reference document in the National Library of Indonesia and also by academics for future research.

A times series register, for the first time, is produced which provides a comprehensive chronology of accounting development in Indonesia.

The purpose of this paper is to introduce the development of a knowledge management system. It allows the creation of new knowledge, its consolidation, distribution and combination in the field of educational innovation, in such a way that the knowledge is transferred from individuals to the organisation and from the organisation to individuals. To achieve this, the knowledge spirals of Nonaka are integrated. The epistemological spiral is used to obtain the ontologies that feed the ontological spiral.

More than 600 university teachers participated in the research and the development of the management system, in which more than 400 educational innovation experiences and 1,100 authors have been included.

The epistemological spiral is used to obtain the ontologies that feed the ontological spiral. The result is a double spiral that allows the contribution of a conceptual model and the development of an innovative tool that enables and automates the effective management of knowledge in educational innovation.

A repository about educational innovation best practices and experiences is available.

The presented model for the sustainability and evolution for an educational innovation best practices repositories has a huge impact for education innovation recognition in the professional development of university teachers. On the other hand, it is way of sharing best practices of educational innovation all over the world.

The major contribution of this research work is based on the way that the knowledge is transferred from individuals to the organisation and from the organisation to individuals. The classification schema and the proposed indicators are based on the elicitation of more than 600 experts and the study of a corpus of more than 400 educational innovation experiences that involve 1,100 university teachers approximately.

Matching supply and demand in services by capacity management has a direct influence on the ability of the service delivery system to achieve service quality and resource productivity targets. Examines some propositions for the influences of capacity management on quality and resource productivity and for managing capacity. In addition to the chase and level strategies for managing capacity in services suggested by Sasser a coping strategy for capacity management is described which aims to improve the overall delivery of service quality while achieving resource productivity targets. Coping is necessary for all organizations at some time. Some research results derived from the experience of a range of service organizations indicate a less than satisfactory handling of the coping situation.

The purpose of this study/paper is conducting a Systematic mapping review, as a systematic literature review method for reviewing the literature of new product development by textmining and mapping the results of this review.

This research has been conducted with the aim of systematically reviewing the literature on the field of design and development of products based on textual data. This research wants to know, how text data and text mining methods, can use for the design and development of new products.

This review finds out what are the most popular algorithms in this field? What are the most popular areas in using these approaches? What types of data are used in this area? What software is used in this regard? And what are the research gaps in this area?

The contribution of this review is creating a macro and comprehensive map for research in this field of study from various aspects and identifying the pros and cons of this field of study by systematic mapping review.