scholarly journals Biotech value chain and technologies for COVID-19 research areas for collaboration on cost quality tradeoff with tool companies

2021 ◽  
pp. 1-4
Author(s):  
Christine C. Huttin

BACKGROUND: Technologies for COVID-19 are in high demand, and supply chains from biotech and pharma industries face critical supply issues. OBJECTIVE: This paper discusses the case on mRNA technologies and quality assurance issues. METHODS: Interviews with managers of biotech companies were performed. These helped to prepare biotech panels at a roundtable on quality of medicine, organized by the Polish Academy of Sciences in Paris (PAN) in 2021. RESULTS: This paper analyzes the new mRNA technology and shows the importance of emerging new biotech firms, especially tool companies providing services in quality assurance. It highlights research areas and types of survey instruments with academic collaborators, to better understand the economics of mRNA technology platforms. CONCLUSIONS: A future research agenda for collaboration with academic communities is proposed on cost-quality trade-offs and clinical quality attributes for such genomic technologies.

Author(s):  
Yanhui Su ◽  
Per Backlund ◽  
Henrik Engström

Abstract As a business model, the essence of games is to provide a service to satisfy the player experience. From a business perspective, development in the game industry has led to the application of Business Intelligence (BI) becoming more and more extensive. However, related research lacks systematic examination and precise classification. This paper provides a comprehensive literature review of BI used in the game industry, focusing primarily on game analytics. This research mainly studies and discusses five aspects. First, we explore game analytics aspects in the available literature based on the traditional game value chain. Second, we find out the main purposes of using analytics in the game industry. Third, we present the problems or challenges in the game area, which can be addressed by using game analytics. Fourth, we also list different algorithms that have been used in game analytics for prediction. Finally, we summarize the research areas that have already been covered in literature but need further development. Based on the categories established after the mapping and the review findings, we also discuss the limitations of game analytics and propose potential research points for future research.


Author(s):  
Kathleen Voges ◽  
Constantin Bratianu ◽  
Alina Mihaela Dima ◽  
Daniel A. Glaser-Segura

This chapter addresses the need for improvement in the development of quality assurance indicators to evaluate progress related to the implementation of the Bologna Process. There is noted room for improvement, as well as an interest in engaging feedback from key stakeholder groups, namely employers. The authors propose that the use of the Global Competitiveness Index with specific attention to the measures provided in Pillars 11, Business Sophistication, and Pillar 12, Innovation provide a transparent and trust-worthy indicator. The measures capture both the absolute and relative standing of a nation's international competitiveness. Using a case study approach that illustrates implementation efforts in Romania, the authors present how the measures might be incorporated into quality assurance indicators at both the national and institutional level. We provide propositions and suggest a future research agenda to advance an understanding of how the use of these indicators can advance convergence of higher education practices in the EHEA.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaobo Wu ◽  
Liping Liang ◽  
Siyuan Chen

PurposeAs various different and even contradictory concepts are proposed to depict a firm's capabilities related to big data, and extant relevant research is fragmented and scattered in several disciplines, there is currently a lack of holistic and comprehensive understanding of how big data alters value creation by facilitating firm capabilities. To narrow this gap, this study aims to synthesize current knowledge on the firm capabilities and transformation of value creation facilitated by big data.Design/methodology/approachThe authors adopt an inductive and rigorous approach to conduct a systematic review of 185 works, following the “Grounded Theory Literature-Review Method”.FindingsThe authors introduce and develop the concept of big data competency, present an inductive framework to open the black box of big data competency following the logic of virtual value chain, provide a structure of big data competency that consists of two dimensions, namely, big data capitalization and big data exploitation, and further explain the evolution of value creation structure from value chain to value network by connecting the attributes of big data competency (i.e. connectivity and complementarity) with the transformation of value creation (i.e. optimizing and pioneering).Originality/valueThe big data competency, an inclusive concept of firm capabilities to deal with big data, is proposed. Based on this concept, the authors highlight the significant contributions that extant research has made toward our understanding of how big data alters value creation by facilitating firm capabilities. Besides, the authors provide a future research agenda that academics can rely on to study the strategic management of big data.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anjali Shishodia ◽  
Rohit Sharma ◽  
R. Rajesh ◽  
Ziaul Haque Munim

PurposeThe study identifies nine important research areas and critically maps the structural relationships among supply chain resilience (SCRES) dimensions, namely, vulnerabilities, capabilities, strategies and performance metrics. The analysis also revealed various influential authors, journals, institutions and trending articles, across SCRES literature.Design/methodology/approachThis study performs a bibliometric analysis of 771 articles published over the 32 years from 1988 to 2020, and network analysis in combination with content analysis of 90 most cited articles published in research fronts of SCRES.FindingsThe results demonstrate the underlying research areas within the SCRES, which are clustered into nine research themes: (1) conceptual development of SCRES, (2) recent developments of designing resilient supply chain (SC) networks, (3) focus on identifying drivers of SC vulnerability and risks, (4) impact of risks on network resilience, (5) risk assessment to avoid breakdowns/disruptions, (6) measuring resilience approaches/drivers to improve SC performance, (7) building resilient capabilities by integrating other SC dimensions, (8) quantification of SC network and (9) emphasis on developing robustness in SC networks.Practical implicationsThis research offers implications for classifying the works in literature based on bibliometric information and network analysis techniques. This can help researchers and practitioners to understand the prominent areas in SCRES and provide guidelines for future research in this area.Originality/valueThis study provides an overview of the evolution of SCRES over time in the domain of supply chain management and also outlines a future research agenda claimed by the trending articles to encourage further investigations in the field of SCRES.


2016 ◽  
Vol 70 (3) ◽  
pp. 623-654 ◽  
Author(s):  
Janice Bially Mattern ◽  
Ayşe Zarakol

AbstractHierarchy-centered approaches to IR promise to deliver what anarchy-centered approaches have not: a framework for theorizing and empirically analyzing world politics as a global system rather than just an international one. At the core of this proposition are three features of hierarchical systems as they are represented across the growing IR literature on the topic. First, the structures of differentiation at the core of hierarchical systems are deeply implicated with power. Hierarchical systems are thus intrinsically political. Second, in world politics, hierarchies stratify, rank, and organize the relations not only among states but also other kinds of actors as well, and often even a mix of different actors within a single structure of differentiation. Third, there are many different kinds of hierarchical relations in world politics, each of which generate different “logics” influencing social, moral, and behavioral outcomes. Hierarchy has been understood in the IR literature in two ways: narrowly, as a relationship of legitimate authority; and broadly, as intersubjective manifestations of organized inequality. Hierarchy operates in a variety of different ways that range from ordering solutions to deep structures. We identify three such “logics” that have been fruitfully explored in IR scholarship and that can form the basis of a future research agenda: hierarchy as an institutionalized functional bargain between actors (a logic of trade-offs); hierarchy as differentiated social and political roles shaping behavior (a logic of positionality); and hierarchy as a productive political space or structure (a logic of productivity).


2020 ◽  
Vol 46 (6) ◽  
pp. 1092-1120 ◽  
Author(s):  
Seok-Woo Kwon ◽  
Emanuela Rondi ◽  
Daniel Z. Levin ◽  
Alfredo De Massis ◽  
Daniel J. Brass

Network brokerage research has grown rapidly in recent decades, spanning the boundaries of multiple social science disciplines as well as diverse research areas within management. Accordingly, we take stock of the literature on network brokerage and provide guidance on ways to move this burgeoning research area forward. We provide a comprehensive review of this literature, including crucial dimensions of the concept itself in terms of brokerage structure and behavior, a set of key categories of factors surrounding the brokerage concept (antecedents, outcomes, and moderators), and an overview of brokerage dynamics over time. We use these dimensions and categories to depict network brokerage’s theoretical and empirical underpinnings as well as evaluate prior research efforts. In so doing, we offer a means to summarize and synthesize this large, interdisciplinary literature, identify important research gaps, and offer promising directions for future research.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Andreas Aldogan Eklund ◽  
Miralem Helmefalk

Purpose The purpose of this paper is to conceptualise and provide a future research agenda for (in)congruence regarding cues between products, brands and atmospheres. Design/methodology/approach A semi-systematic literature review was conducted. The aim was to assess, critique and synthesise (in)congruence, which was found in the literature to be dispersed and interdisciplinary, and to propose a theoretical framework in the marketing domain. Findings Firstly, the review reveals that sensory and semantic cues are interrelated in products, brands and atmospheres. It illustrates that these cues are the foundation for (in)congruence. Secondly, the findings show various theoretical foundations for (in)congruence. These explain where and how congruence occurs. Lastly, a theoretical framework for (in)congruence and a future research agenda were developed to stimulate further research. Research limitations/implications A theoretical framework was developed to enrich the theoretical knowledge and understanding of (in)congruence in the marketing domain. Practical implications The review reveals that products, brands and atmospheres have spillover effects. Managers are advised to understand the semantic meaning carried by cues to foster various outcomes, to estimate the trade-offs when modifying (in)congruent cues for products, brands and atmospheres. Originality/value The developed theoretical framework advances and deepens the knowledge of (in)congruence in the marketing domain by moving beyond the match and fit between two entities and by revealing the underlying mechanism and its outcomes.


2019 ◽  
Vol 24 (3) ◽  
pp. 397-404 ◽  
Author(s):  
Christos Braziotis ◽  
Helen Rogers ◽  
Ajeseun Jimo

Purpose The emergence and application of 3D Printing (3DP) is changing the way products are developed and reach the customer, allowing for unprecedented customisation options. Past research has focussed on the modus operandi of the technology, providing indications for wider future adoption. 3DP is predicted to complement current production processes and is anticipated to have a profound effect on the value chain and, therefore, on supply chain (SC) management. Management-related 3DP research has, however, been largely fragmented in terms of analysing the strategic deployment of 3DP and the corresponding effects on performance objectives. The aim of this paper is to identify, define and exemplify typical 3DP deployment strategies pursued. Design/methodology/approach The approach taken is a critical literature review, synthesising and interpreting past research on cross-industry deployment of 3DP, including illustrative examples. This enabled the development of a framework of current stage knowledge. Findings Building on past research, the authors propose a conceptual framework to be used as a classification system for 3DP operations, based on process and SC level configurations across different industries. They discuss the potential impact on operations performance objectives and then highlight research gaps, proposing specific research avenues to enhance understanding of the effects of 3DP adoption on SCs. Practical implications The proposed framework outlines strategic guidelines for 3DP and provides practitioners with the range of strategic options available for 3DP deployment and anticipated impacts on performance. Originality/value The framework can be used to map 3DP deployment at an operational level and identify the likely impact on performance objectives. Relevant implications and a future research agenda are explored.


2003 ◽  
Vol 54 (4) ◽  
pp. 545 ◽  
Author(s):  
Robert B. Ditton ◽  
John R. Stoll

At the Second International Billfish Symposium in Kona, it was reported that little was known about the social and economic aspects of recreational billfish fisheries. There was plenty of background, some good questions, but few answers. There had been little history of social science involvement in fisheries management at the time and even less in billfish fisheries. Whether authorized or not, fishery management decisions worldwide are going to be made on the basis of ‘best available’ social and economic understanding. Unfortunately, the values held by many in the billfish angler community are not likelyto be well represented in the mix for various reasons. Research in the USA and in Latin America over the past 13 years hasprovided an understanding of the billfish angler constituency, its commitment to catch and release and support for resource conservation, its local and regional impacts on tourism economies, and its willingness-to-pay above andbeyond trip costs (a measure of user value) in the US Atlantic, Puerto Rico, Costa Rica and Mexico Pacific. Although knowledge of the recreational billfish fishery has improved, comparatively little is known about the social and economic benefits associatedwith commercial (direct and bycatch) billfish fisheries. With little more than dockside prices available in many localities, it is difficult to know their value in comparison with recreational fisheries and the possible trade-offs associated with various management measures. In addition to describing what is still not known, this paper will identify a future research agenda in this area.


2019 ◽  
Vol 50 (5-6) ◽  
pp. 292-304 ◽  
Author(s):  
Mario Wenzel ◽  
Marina Lind ◽  
Zarah Rowland ◽  
Daniela Zahn ◽  
Thomas Kubiak

Abstract. Evidence on the existence of the ego depletion phenomena as well as the size of the effects and potential moderators and mediators are ambiguous. Building on a crossover design that enables superior statistical power within a single study, we investigated the robustness of the ego depletion effect between and within subjects and moderating and mediating influences of the ego depletion manipulation checks. Our results, based on a sample of 187 participants, demonstrated that (a) the between- and within-subject ego depletion effects only had negligible effect sizes and that there was (b) large interindividual variability that (c) could not be explained by differences in ego depletion manipulation checks. We discuss the implications of these results and outline a future research agenda.


Sign in / Sign up

Export Citation Format

Share Document