How can we predict management potential in research scientists?

The success of an R&D operation depends on selecting the right speciailists to occupy management positions. Errors of selection mostly arise because the choice is made on the basis of the candidate's current performance as a scientist or technologist. However, the author makes the point that persons likely to make good Rand D managers differ qualitatively from good researchers. Good scientists adopt an innovative, unconstrained, independent approach to their work, have high self-esteem, are not much interested in people and, above all, prize technical soundness. R&D managers are interested in people, active, enterprising and want to manage.
The organization's problem is therefore to find reliable ways of predicting management potential with sufficient but not exclusive regard to current performance. The author recommends the use of a Career Aspirations Programme, based on exposure to the processes operating in an Assessment Centre. This is a systematic procedure using an array of personnel evaluation techniques through which a person is made aware of the demands of a management job and managers made aware of the likelihood of that person's meeting them.
At the end of the process a course of personal development is agreed upon. In concrete terms this means for the potential manager that promotion may follow. Especially important if the verdict is that he or she is to continue as a technical specialist, the job may be re-designed to give it more scope and impact, or the person concerned may be retrained or placed under the care of a senior colleague acting as a mentor.     

Occupational roles and expectations of research scientists and research managers in scientific research institutions†

Publicly funded research institutes in most countries have been pressed by economic and political pressures through the 1990s to become more financially independent, to be more accountable and to adopt more businesslike principles and practices. In this context the occupational roles and career options for scientists and research managers in these organisations have undergone considerable change. As the research cultures of these institutions take on a more commercial perspective, new and critical career path choices for both researchers and the organisations themselves have emerged. This article focuses on the changing occupational roles of research scientists and research managers in the Australian CSIRO (Commonwealth Scientific and Industrial Research Organisation), one of the world's largest multidisciplinary research organisations. Two critical occupational pathways are discussed: one between science and science management and another between science management and commercial management. Key points where the pathways diverge are identified and linked to broader issues of organisational culture and human resource management. The authors argue that research institutes such as the Australian CSIRO require a ‘multicultural’ management approach that horizontally integrates the industrial, scientific and commercial domains of the organisations’ research cultures.     

The work motivation of research scientists and its effect on research performance

This research examines the work motivation profile of research scientists and the effect of work motivation on research performance. A sample of United Kingdom‐based research scientists (N = 405) working in the chemical, biological and biomedical research domains took part in the study. Participants completed a survey based measure of motivational sources and self‐report research performance evaluation. The motivational sources of internal self‐concept motivation and instrumental motivation were found to be the strongest and weakest respectively for research scientists. External self‐concept motivation was found to be significantly higher among younger scientists. No gender differences were found in the motivational profile of scientists. While controlling for the influences of age and gender, internal self‐concept motivation was found to have a significant positive effect on research performance, and instrumental motivation was found to have a significant negative effect on research performance. Consistent with prior research, differences in research performance across age and gender were also identified. The implications of these findings for our understanding of the effective management of scientific research are discussed.     

Social media research in the industrial marketing field: Review of literature and future research directions

Since the emergence of social media, industrial marketing academics and marketers have also been intrigued by the influence of such media on the discipline. As, social media research in the field of industrial marketing has been of increasing interest, this research attempts to review and assess the advances in social media research in the industrial marketing field. From the literature review conducted, it can be identified that some of the research areas have witnessed steady theory development increases, e.g., sales and marketing communications, while others are clearly lagging behind, e.g., pricing and ethics. Also methodological pluralism is called for instead of more traditional methods (conceptual analysis, qualitative and survey) to establish and solve more nuanced research problems. This research provides a review of the current state of research in the field and suggests directions for future development.     

Alliance capabilities: A systematic review and future research directions

The ability to manage, integrate and learn from strategic alliances is essential in today's interconnected and globalized economy. Despite the managerial relevance of alliance capability, there remain several open questions related to the conceptualization of alliance capabilities, their antecedents, processes and outcomes, and future research needs. We address these issues through a systematic review of 94 articles from top-tier journals focused on alliance capabilities. This study makes three contributions. The study (1) defines the concept of alliance capabilities when operating in a dyadic relational context by reviewing the rich alliance capability literature, acknowledging and bridging the works conducted in different fields. We (2) identify the main processes, antecedents and outcomes of alliance capabilities and, through this analysis, pave the way for (3) the creation of a comprehensive research agenda to direct future research efforts. Overall, this study extends the existing literature by providing an integrative view of alliance capability research in various fields.     

Green human resource management research in emergence: A review and future directions

The growing awareness of and regulations related to environmental sustainability have invoked the concept of green human resource management (GHRM) in the search for effective environmental management (EM) within organizations. GHRM research raises new, increasingly salient questions not yet studied in the broader human resource management (HRM) literature. Despite an expansion in the research linking GHRM with various aspects of EM and overall environmental performance, GHRM’s theoretical foundations, measurement, and the factors that give rise to GHRM (including when and how it influences outcomes) are still under-specified. This paper, seeking to better understand research opportunities and advance theoretical and empirical development, evaluates the emergent academic field of GHRM with a narrative review. This review highlights an urgent need for refined conceptualization and measurement of GHRM and develops an integrated model of the antecedents, consequences and contingencies related to GHRM. Going beyond a function-based perspective that focuses on specific HRM practices and building on advances in the strategic HRM literature, we discuss possible multi-level applications, the importance of employee perceptions and experiences related to GHRM, contextual and cultural implications, and alternative theoretical approaches. The detailed and focused review provides a roadmap to stimulate the development of the GHRM field for scholars and practicing managers.     

An analysis of entry and persistence among scientists in an emerging field of science: the case of neural networks

This paper examines the factors that influence scientists in their choice and persistence in an area of research, and compares the experience of scientists who enter a field early with those scientists who follow in their footsteps once the field becomes widely accepted. Evidence is presented from an international survey of more than seven-hundred scientists working in the field of neural networks. After controlling for cohort and experience effects, the results suggest that early entrants as a group are indeed different in both their motivations to enter and their persistence to remain in the field. In general, compared with scientists who enter late, early entrants are significantly less influenced by the social dynamics of the research community.     

Business and management in China: A review of empirical research in leading international journals

Asia Pacific Journal of Management - China’s growing economic importance has led to a significant increase in the volume of empirical research about business and management in this country...     

Understanding modelling in technology and science: the potential of stories from the field

This paper tells the story of how two biotechnologists used models, one working as a technologist and the other as a scientist. These stories were collected during the development of the key ideas about the nature of technology and technological knowledge during the latest curriculum development in New Zealand. Their stories of how and why they used models provided insight into the different role of modelling in technology and science. This difference can be linked to the fundamental difference between technology as a discipline that attempts to intervene in the world and create something other, and science as a discipline that attempts to explain the world. The stories illustrate the differences in the purpose, outcome and the underpinning reasoning across technology and science. We suggest that using such stories supports learning about the nature of technology and the nature of science and provides an opportunity to add a critical dimension to the development of technological literacy and scientific literacy.     

How and what to study about IoT: Research trends and future directions from the perspective of social science

The Internet of Things (IoT), as a new growth engine of the information and communications technology industry, has sparked global enthusiasm. However, academic deliberation has concentrated on technological aspects, discounting the multifaceted nature of IoT. Therefore, we reviewed non-technical papers to examine the current status of scholarly discourse and applied analytic hierarchy process models to assess the priorities for future IoT research. Although papers in science and engineering fields were excluded, analysis of 300 articles showed that a considerable number of papers were written by engineers, mainly concerning industrial content. Experts perceived that systematic methods and tangible subjects were the most necessary to motivate research in the social sciences sector. Multidisciplinary research was considered important regardless of the research disciplines, and user study was assigned a particularly large weight. According to the results, implications and suggestions for future IoT research are discussed.     

高校科研管理系统的设计与实现

分析了C/S和B/S 2种模式混合使用的优越性,讨论了基于这2种混合模式如何进行高校科研管理系统的功能设计、系统体系结构设计、系统开发工具环境选择、功能模块划分,介绍了系统实施过程中的主要技术,并叙述了校级课题申报、审批、合同、结题等管理功能。     

Setting B2B digital marketing in artificial intelligence-based CRMs: A review and directions for future research

The new business challenges in the B2B sector are determined by connected ecosystems, where data-driven decision making is crucial for successful strategies. At the same time, the use of digital marketing as a communication and sales channel has led to the need and use of Customer Relationship Management (CRM) systems to correctly manage company information. The understanding of B2B traditional Marketing strategies that use CRMs that work with Artificial Intelligence (AI) has been studied, however, research focused on the understanding and application of these technologies in B2B digital marketing is scarce. To cover this gap in the literature, this study develops a literature review on the main academic contributions in this area. To visualize the outcomes of the literature review, the results are then analyzed using a statistical approach known as Multiple Correspondence Analysis (MCA) under the homogeneity analysis of variance by means of alternating least squares (HOMALS) framework programmed in the R language. The research results classify the types of CRMs and their typologies and explore the main techniques and uses of AI-based CRMs in B2B digital marketing. In addition, a discussion, directions and propositions for future research are presented.     

ICT as a driver of economic growth: A survey of the literature and directions for future research

This paper conducts a comprehensive literature survey of the papers that examine the link between ICT and economic growth. Using a rigorous screening framework, we found 208 academic papers that were published from 1991 to the cutoff date of October 30, 2018.This survey provides a robust set of insights into the distribution, research strategies, and findings of the surveyed papers, taking into account their geographic focus and type of ICT-growth links. This study also reveals the key factors that predict the citation impact by paper. Among the directions for future research, this paper argues that the time has come for the research on the ICT-growth link to shift its main focus from evidencing its positive relationship to advancing the understanding on why and how emerging digital technologies directly or indirectly affect economic performance.     

The effects of emotional intelligence on job performance and life satisfaction for the research and development scientists in China

To demonstrate the utility of the emotional intelligence (EI) construct in organizational studies, this study focuses on the effect of EI on job performance among research and development scientists in China. We argue that EI is a significant predictor of job performance beyond the effect of the General Mental Ability (GMA) battery on performance. This predictor effect is supported by results on a study of research and development scientists working for a large computer company in China. Our results also show that a self-reported EI scale developed for Chinese respondents, the WLEIS, is a better predictor of job performance than the scale developed in the U.S., the MSCEIT. Implications of the findings are discussed.

Mergers and acquisitions by Chinese firms: A review and comparison with other mergers and acquisitions research in the leading journals

In recent years, an increasing number of Chinese firms have been engaged in acquisitions both inside and outside of China. Nevertheless, our understanding of Chinese merger and acquisition (M&A) activity is limited because a majority of M&As in the past 100 years have been performed by firms from developed countries and it is those M&As that have been the focus of prior research. Thus this paper aims to address the following research questions: What are the new insights gained from Chinese M&A research? What are the emerging future directions of Chinese M&A research? To address those questions, this article provides a thorough literature review of the most recent M&A research in top journals and studies of M&As both inside and outside of China. Consequently, we identify both new insights from Chinese M&A research and the research gaps that Chinese M&A research needs to fulfill compared with general M&A research in top journals. We further highlight the important and unique characteristics of Chinese M&As and call for future research.     

Guanxi as a governance mechanism in business markets: Its characteristics, relevant theories, and future research directions

With a growing interest in doing business in a Confucian society, scholars and managers have given much attention to Guanxi as a governance mechanism. Yet, little has been known the unique aspects and the effectiveness of Guanxi-based governance. To address such gap, we specify three distinct aspects of Guanxi in a business setting. First, Guanxi is a fine balance among three key elements: qing (emotion or feeling), li (reciprocity) and liyi (utilitarian benefits). Second, Guanxi pertains to dynamic, interactive relationships at both individual and organizational levels. Third, Guanxi is unalterably linked to the concept of Guanxi-networking (or more precisely, quanzi). Based on these unique aspects, we argue that industrial marketing scholars can borrow theories from veracious disciplines and call for more effort in the empirical examination of the interactions among the three aspects of Guanxi-based governance, the efficacy of Guanxi-based governance, the developmental process of Guanxi networks, and the interactions of interpersonal Guanxi to organizational Guanxi.     

Postgraduate scientists and R&D: the role of reputation in organisational choice

This paper reports on a series of interviews with postgraduate scientists in a number of UK universities. The interviews were designed to investigate the attitude of young scientists to employment in the pharmaceutical industry. The sample consisted of postgraduates in the biological sciences and included a broad cross-section of universities. The primary objective was to ascertain each student's ideal employer and to establish the role organisational reputation played in that choice. Students not intending to seek employment in commercial R&D were asked to explain why they had made that decision. The research established that knowledge of potential employers in the pharmaceutical industry was concentrated on two major companies, ICI and Glaxo. Students not considering the pharmaceutical industry indicated that lack of academic freedom was their major concern.     

Information technology resources,innovativeness, and supply chain capabilities as drivers of business performance: A retrospective and future research directions

Four articles considered among the Industrial Marketing Management citation classics developed frameworks that aimed to capture the factors contributing to the business performance of a firm. In this paper, we provide an overview of the developments in the field since their publication more than ten years ago and explore avenues for future research. First, we provide a retrospective on the original articles and provide a brief literature review regarding how the business performance research has evolved since then. Second, we identify potential research gaps and provide future research directions with respect to resources and capabilities that drive performance. Finally, we provide our perspective regarding other factors that could influence firm performance and other firm performance measures that should be considered by future research.