Search results

1 – 10 of over 1000
Article
Publication date: 19 June 2017

Le Wang, Jun Lin, Jie Yan and Wentian Cui

The purpose of this paper is to investigate the combined effects of different modalities of long-term knowledge accumulation and short-term knowledge searching on the…

Abstract

Purpose

The purpose of this paper is to investigate the combined effects of different modalities of long-term knowledge accumulation and short-term knowledge searching on the generation of high-impact ideas. The authors aim at providing useful conclusions for academic scholars.

Design/methodology/approach

Two dimensions of the cumulative knowledge structures of researchers are measured: knowledge depth and knowledge breadth. The search strategies employed by researchers are classified as local search and distant search. The authors use researchers’ historical publications to measure cumulative knowledge structures. References contained in these publications serve as an indicator of knowledge searching behaviors and are used to measure search strategies. Highly cited papers with random-but-matched papers from the same journal published in the same year are adopted to test the hypotheses.

Findings

The knowledge depth of researchers positively predicts the generation of high-impact ideas. Knowledge breadth has a bell-shaped relationship to the generation of high-impact ideas. Two instances of “strategic fit” between the knowledge structures and search strategies of researchers are identified; namely, knowledge breadth combines most effectively with local search, and knowledge depth combines most effectively with distant search in generating high-impact ideas.

Research limitations/implications

Using article references to measure authors’ knowledge search behaviors may lead to biases. Future research should perform a survey to obtain a comprehensive understanding of the knowledge search behaviors of scholars.

Practical implications

A “T-shaped” knowledge structure in the long run is recommended for maximal generation of high-impact ideas. Researchers who have not adopted this optimal knowledge structure can employ a matched search strategy to leverage their existing knowledge structures.

Originality/value

This paper is among the first to examine the interactive effects between the cumulative knowledge structures and short-term knowledge searching strategies of researchers. The authors have enriched the exploration and exploitation theory by adding the dimension of time into the analysis.

Details

Management Decision, vol. 55 no. 5
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 29 November 2018

Jun-You Lin

How does university-firm collaboration affect the performance of both universities and firms? The purpose of this paper is to evaluate university-firm collaborations aimed…

Abstract

Purpose

How does university-firm collaboration affect the performance of both universities and firms? The purpose of this paper is to evaluate university-firm collaborations aimed at expanding the treatment effects of collaboration ambition on university academic performance as well as collaboration ambition focused on the firm’s production of innovation and financial performance for the top 110 US universities and the top 200 US R&D performing firms.

Design/methodology/approach

“Two studies, based on the three archival data sets (National Bureau of Economic Research-Rensselaer Scientific Papers Database and the Harvard Dataverse Network (DVN) US Patent Citations database and Compustat database), are undertaken in the top 110 US universities and the top 200 US R&D performing firms.” The study introduces a theoretical model that explicitly addresses collaboration diversity, number of collaborations, knowledge stock and the endogeneity problem that is generated by self-selection of collaboration ambition in university and firm’s performance.

Findings

The results suggest that the effects of adopting proactive collaboration decision on academic performance are insignificant in the firm subsample. However, more interestingly, the authors find supporting evidence of the negative impact of collaboration on university groups. The authors also find that collaboration diversity, knowledge stock and collaboration ambition lead to stronger firm performance but the number of collaborations is smaller on firm performance. Furthermore, the authors find that collaboration ambition moderates the positive effect of the number of collaborations on firm performance.

Practical implications

University-firm collaboration is a multifaceted relationship, suggesting that the empirical analysis can be interpreted through the university and the firm view to enhance the understanding of the collaboration for performance creation. This study articulates the positive role of collaboration diversity, knowledge stock and collaboration ambition and the negative role of the number of collaborations on university-firm collaboration in terms of university and firm performance. Moreover, proactive collaboration ambition has the positive effect of a higher number of collaborations on firm performance. The authors conclude that policy should refrain from overly focusing on collaboration diversity, number of collaborations, knowledge stock and collaboration ambition, and the authors consider the interactions between the number of collaborations and collaboration ambition on university-firm collaboration when discussing their effects on mutual performance.

Originality/value

This study demonstrates the effects of university-firm collaboration on academic performance. In addition, the authors discuss the factors that influence collaboration to help the firm to increase its innovation and financial performance. Therefore, it would be interesting to see simultaneously how university-firm collaboration affects the performance of both partners.

Open Access
Article
Publication date: 11 October 2018

Jun Lin, Han Yu, Zhengxiang Pan, Zhiqi Shen and Lizhen Cui

Today’s software engineers often work in teams to develop complex software systems. Therefore, successful software engineering in practice require team members to possess…

1312

Abstract

Purpose

Today’s software engineers often work in teams to develop complex software systems. Therefore, successful software engineering in practice require team members to possess not only sound programming skills such as analysis, design, coding and testing but also soft skills such as communication, collaboration and self-management. However, existing examination-based assessments are often inadequate for quantifying students’ soft skill development. The purpose of this paper is to explore alternative ways for assessing software engineering students’ skills through a data-driven approach.

Design/methodology/approach

In this paper, the exploratory data analysis approach is adopted. Leveraging the proposed online agile project management tool – Human-centred Agile Software Engineering (HASE), a study was conducted involving 21 Scrum teams consisting of over 100 undergraduate software engineering students in multi-week coursework projects in 2014.

Findings

During this study, students performed close to 170,000 software engineering activities logged by HASE. By analysing the collected activity trajectory data set, the authors demonstrate the potential for this new research direction to enable software engineering educators to have a quantifiable way of understanding their students’ skill development, and take a proactive approach in helping them improve their programming and soft skills.

Originality/value

To the best of the authors’ knowledge, there has yet to be published previous studies using software engineering activity data to assess software engineers’ skills.

Open Access
Article
Publication date: 12 June 2017

Qiong Wu, Zhiwei Zeng, Jun Lin and Yiqiang Chen

Poor medication adherence leads to high hospital admission rate and heavy amount of health-care cost. To cope with this problem, various electronic pillboxes have been…

2167

Abstract

Purpose

Poor medication adherence leads to high hospital admission rate and heavy amount of health-care cost. To cope with this problem, various electronic pillboxes have been proposed to improve the medication adherence rate. However, most of the existing electronic pillboxes use time-based reminders which may often lead to ineffective reminding if the reminders are triggered at inopportune moments, e.g. user is sleeping or eating.

Design/methodology/approach

In this paper, the authors propose an AI-empowered context-aware smart pillbox system. The pillbox system collects real-time sensor data from a smart home environment and analyzes the user’s contextual information through a computational abstract argumentation-based activity classifier.

Findings

Based on user’s different contextual states, the smart pillbox will generate reminders at appropriate time and on appropriate devices.

Originality/value

This paper presents a novel context-aware smart pillbox system that uses argumentation-based activity recognition and reminder generation.

Details

International Journal of Crowd Science, vol. 1 no. 2
Type: Research Article
ISSN: 2398-7294

Keywords

Article
Publication date: 13 February 2018

Dehong Li, Jun Lin, Wentian Cui and Yanjun Qian

This study aims to clarify the effect of team effort allocation between knowledge exploration and exploitation on the generation of extremely good or poor innovations. The…

1349

Abstract

Purpose

This study aims to clarify the effect of team effort allocation between knowledge exploration and exploitation on the generation of extremely good or poor innovations. The influence of previous collaborative experience among team members on the effect of team effort allocation is also investigated to understand the relationship between team members’ collaboration networks and knowledge learning.

Design/methodology/approach

This study uses data of all patents granted by the US Patent and Trademark Office between 1984 and 2010. The inventors involved in a patent are regarded as members of the focal team. Logistic regression is used to analyze the data.

Findings

Allocating greater effort to exploration than to exploitation is beneficial to achieving breakthrough innovations despite the risk of generating particularly poor innovations. This benefit increases with collaborative experience among team members. Placing an equal emphasis on knowledge exploration and exploitation is not particularly effective in achieving breakthrough innovations; it is, however, the best strategy for avoiding particularly poor innovations.

Originality/value

This research not only provides valuable insights for research on innovation and knowledge management by studying the team effort allocation strategy used to achieve breakthroughs and avoid particularly poor innovations but also represents an advancement in bridging two streams of research – knowledge learning and social networks – by highlighting the influence of the team members’ collaborative networks on the effect of team effort allocation between knowledge exploration and exploitation.

Details

Journal of Knowledge Management, vol. 22 no. 4
Type: Research Article
ISSN: 1367-3270

Keywords

Open Access
Article
Publication date: 4 September 2017

Jun Lin, Zhiqi Shen, Chunyan Miao and Siyuan Liu

With the rapid growth of the Internet of Things (IoT) market and requirement, low power wide area (LPWA) technologies have become popular. In various LPWA technologies…

9983

Abstract

Purpose

With the rapid growth of the Internet of Things (IoT) market and requirement, low power wide area (LPWA) technologies have become popular. In various LPWA technologies, Narrow Band IoT (NB-IoT) and long range (LoRa) are two main leading competitive technologies. Compared with NB-IoT networks, which are mainly built and managed by mobile network operators, LoRa wide area networks (LoRaWAN) are mainly operated by private companies or organizations, which suggests two issues: trust of the private network operators and lack of network coverage. This study aims to propose a conceptual architecture design of a blockchain built-in solution for LoRaWAN network servers to solve these two issues for LoRaWAN IoT solution.

Design/methodology/approach

The study proposed modeling, model analysis and architecture design.

Findings

The proposed solution uses the blockchain technology to build an open, trusted, decentralized and tamper-proof system, which provides the indisputable mechanism to verify that the data of a transaction has existed at a specific time in the network.

Originality/value

To the best of our knowledge, this is the first work that integrates blockchain technology and LoRaWAN IoT technology.

Details

International Journal of Crowd Science, vol. 1 no. 3
Type: Research Article
ISSN: 2398-7294

Keywords

Open Access
Article
Publication date: 1 July 2020

Jun Lin, Wen Long, Anting Zhang and Yueting Chai

The blockchain technology provides a way to record transactions that is designed to be highly secure, transparent, trustable, traceable, auditable and tamper-proof. And…

2437

Abstract

Purpose

The blockchain technology provides a way to record transactions that is designed to be highly secure, transparent, trustable, traceable, auditable and tamper-proof. And, the internet of things (IoT) technology provides the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction, which is able to link computing devices and digitized machines, things, objects, animals and people that are provided with digital unique identifiers (UIDs). This paper aims to explore the combined application of blockchain and IoT-based technologies, especially on the intellectual property protection area.

Design/methodology/approach

In this paper, the authors propose a high-level architecture design of blockchain and IoT-based intellectual property protection system, which can help to process three types of intellectual property: (1) patents, copyrights, trademarks etc.; (2) industrial design, trade dress, craft works, trade secrets etc.; and (3) plant variety rights, geographical indications, etc.

Findings

Using blockchain peer-to-peer network and IoT devices, the proposed method can help people to establish a trusted, self-organized, open and ecological intellectual property protection system.

Originality/value

To the best of the authors’ knowledge, this is the first work that applied blockchain and IoT technologies on traditional intellectual property protection and trade ecosystem.

Details

International Journal of Crowd Science, vol. 4 no. 3
Type: Research Article
ISSN: 2398-7294

Keywords

Article
Publication date: 18 November 2021

Sheng-Fang Chou, Chih-Hsing Sam Liu and Jun-You Lin

The purpose of this study is to illustrate the different systems controlling coronavirus disease 2019 (COVID-19) and curbing the impact of the virus on the hospitality…

Abstract

Purpose

The purpose of this study is to illustrate the different systems controlling coronavirus disease 2019 (COVID-19) and curbing the impact of the virus on the hospitality economy. The author’s clarified the critical attributes of the government, organization management system and consumer behaviour using mediation-moderation models and demonstrated how those critical attributes influenced customer consumption intention during COVID-19 in Taiwan.

Design/methodology/approach

Due to the impact of the COVID-19 pandemic, this research is mainly distributed through online questionnaires through Facebook and other social media channels to recruit volunteers. Second, the pre-test survey used 100 questionnaires collected from juniors and seniors from a university in northern Taiwan to make predictions. Third, this study also conducted a questionnaire validity analysis, which identified 9 criteria and 34 items. Fourth, the questionnaire collected samples for a total of three months. Structural equation modelling was used to test the hypotheses in a sample of 1,098 consumers in Taiwan.

Findings

This study considers government, enterprise and consumer levels and conducts relevant factor analysis from consumers’ perspectives to understand the changes in consumer behaviour under COVID-19 influence. Regarding mediation, this study finds that information and communication mediate the relationships between crisis management and COVID-19 impact. Regarding moderation, this study exposes the critical moderating part of human resources, that hygiene and safety strengthen the relationships between COVID-19 impact and attitude towards life and that perceived anxiety strengthens the relationship between attitude towards life and consumption intention.

Practical implications

During COVID-19, restaurants should cooperate with the government to reduce the risk of community infection. Therefore, the government also needs to cooperate with restaurant companies to enhance the industrial economy, actively communicate with consumers and provide correct and sufficient information. At the same time, restaurant enterprises also need to have sufficient human resource arrangements, hygiene and safety planning to eliminate consumers’ doubts.

Originality/value

These findings indicate that consumers’ consumption intention to eat out is affected by the COVID-19 impact and attitude towards life. This research also confirms that perceived anxiety has a mediating effect on the relationship between consumer attitudes towards life and consumption intentions. To improve the restaurant economic process, they should consider solutions to reduce consumers’ perception of the COVID-19 impact and fear of eating out.

Details

British Food Journal, vol. 124 no. 10
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 20 July 2022

Tianyu Hou, Julie Juan Li and Jun Lin

Knowledge search is considered a broad concept and semi-intentional behavior. The path and boundary conditions through which search strategies affect intra-organizational…

Abstract

Purpose

Knowledge search is considered a broad concept and semi-intentional behavior. The path and boundary conditions through which search strategies affect intra-organizational knowledge creation remain elusive. Drawing on recombinant search theory and knowledge-based view, the authors seek to identify knowledge complexity as an important intermediate variable between knowledge search and innovation performance, such as research and development (R&D) output and R&D output quality. A second goal of this study is to examine the moderating roles of government support and technological turbulence.

Design/methodology/approach

The authors employed a longitudinal panel of 609 global pharmaceutical firms and obtained the firms' patent records from 1980 to 2015 for the analysis. The authors used generalized estimating equations (GEE) to evaluate the models and tested the consistency via panel fixed-effects estimations.

Findings

The authors' findings show that organizational routine-guided search has a negative effect on knowledge complexity, while routine-changing search exerts a positive impact on knowledge complexity. Governmental support and technological turbulence moderate these relationships. Notably, knowledge complexity has an inverted U-shaped relationship with innovation performance.

Research limitations/implications

The authors' research context, the pharmaceutical industry, may constrain the generalizability of our findings. In addition, potential types of routine-guided and routine-changing search behaviors were not considered.

Practical implications

Despite these limitations, this study offers important implications. First, knowledge complexity transmits the effects of knowledge search on innovation performance. Practitioners should balance routine-guided and routine-changing search processes to build and manage complex knowledge. Second, a moderate level of knowledge complexity is the key to good R&D output and R&D output quality.

Originality/value

The study identifies knowledge complexity as one important intermediate variable between knowledge search behaviors and intra-organizational knowledge creation.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 13 February 2017

Ping Su, Shuguang Liu and Jun Lin

This paper aims to study a dominant e-retailer operating its own e-marketplace (B2C) to host peer competitor as well as acting as a traditional retailer (“dual-format”…

Abstract

Purpose

This paper aims to study a dominant e-retailer operating its own e-marketplace (B2C) to host peer competitor as well as acting as a traditional retailer (“dual-format” retailing as in Mantin and Krishnan 2014). The dominant retailer offers a two-part tariff charging scheme to a third-party seller. The seller decides whether to join the e-marketplace. The present paper is interested in addressing the following questions: What is the pricing equilibrium before/after the formation of the e-marketplace? What will be the “optimal” charging scheme? What is the impact on the e-marketplace operator if the third-party seller has the option to become “featured”.

Design/methodology/approach

This paper adopts a stylized model to capture the competition between the two retailers and applies game theory to solve the pricing equilibrium. The authors model the dual-format retailing in a two-stage decision: Stage 1, the e-marketplace operator offers a two-part tariff; Stage 2, if the other retailer is participating, they engage in a pricing competition. They assume that the e-marketplace operator is a profit maximizer by choosing its charging scheme subject to the condition that the participating retailer is no worse off.

Findings

The authors find that the e-retailer and the third-party seller in the e-marketplace are not always hurt by intensified price competition. They identify conditions under which higher expected prices are charged as a result of agglomeration effect. The authors’ model also provides theoretical evidence on this popular charging scheme, and shows the feasible region in which the e-marketplace operator could allocate the surplus resulted from the formation of the e-marketplace between itself and the participating retailer. Finally, the authors demonstrate that if the third-party seller has the option to become a “featured” retailer (He and Chen, 2006), it can be detrimental to the e-marketplace operator.

Originality/value

This work is different in three ways: First, the authors model an e-marketplace adopting a “dual-format” retailing, facing the trade-off between its direct retailing revenue and the rents collected from the member store, while the literature mainly focuses on e-marketplaces playing the intermediary role. Second, they explicitly model the “market expansion effect” caused by the agglomeration after the formation of the e-marketplace. The present study complements this stream of research by investigating and providing theoretical evidence on the charging scheme popularly adopted by the e-marketplaces and proposes ways to share the surplus to the participating store.

Details

Journal of Modelling in Management, vol. 12 no. 1
Type: Research Article
ISSN: 1746-5664

Keywords

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