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Article
Publication date: 13 August 2021

Runyue Han, Hugo K.S. Lam, Yuanzhu Zhan, Yichuan Wang, Yogesh K. Dwivedi and Kim Hua Tan

Although the value of artificial intelligence (AI) has been acknowledged by companies, the literature shows challenges concerning AI-enabled business-to-business (B2B) marketing…

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Abstract

Purpose

Although the value of artificial intelligence (AI) has been acknowledged by companies, the literature shows challenges concerning AI-enabled business-to-business (B2B) marketing innovation, as well as the diversity of roles AI can play in this regard. Accordingly, this study investigates the approaches that AI can be used for enabling B2B marketing innovation.

Design/methodology/approach

Applying a bibliometric research method, this study systematically investigates the literature regarding AI-enabled B2B marketing. It synthesises state-of-the-art knowledge from 221 journal articles published between 1990 and 2021.

Findings

Apart from offering specific information regarding the most influential authors and most frequently cited articles, the study further categorises the use of AI for innovation in B2B marketing into five domains, identifying the main trends in the literature and suggesting directions for future research.

Practical implications

Through the five identified domains, practitioners can assess their current use of AI and identify their future needs in the relevant domains in order to make appropriate decisions on how to invest in AI. Thus, the research enables companies to realise their digital marketing innovation strategies through AI.

Originality/value

The research represents one of the first large-scale reviews of relevant literature on AI in B2B marketing by (1) obtaining and comparing the most influential works based on a series of analyses; (2) identifying five domains of research into how AI can be used for facilitating B2B marketing innovation and (3) classifying relevant articles into five different time periods in order to identify both past trends and future directions in this specific field.

Details

Industrial Management & Data Systems, vol. 121 no. 12
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 7 August 2018

Yuanzhu Zhan, Kim Hua Tan and Robert K. Perrons

In today’s rapidly changing business environment, the case for accelerated innovation processes has become increasingly compelling at both a theoretical and practical level. Thus…

Abstract

Purpose

In today’s rapidly changing business environment, the case for accelerated innovation processes has become increasingly compelling at both a theoretical and practical level. Thus, the purpose of this paper is to propose a conceptual framework for accelerated innovation in a data-driven market environment.

Design/methodology/approach

This research is based on a two-step approach. First, a set of propositions concerning the best approaches to accelerated innovation are put forward. Then it offers qualitative evidence from five case studies involving world-leading firms, and explains how innovation can be accelerated in different kinds of data-driven environments.

Findings

The key sets of factors for accelerated innovation are: collateral structure; customer involvement; and ecosystem of innovation. The proposed framework enables firms to find ways to innovate – specifically, to make product innovation faster and less costly.

Research limitations/implications

The findings from this research focus on high-tech industries in China. Using several specific innovation projects to represent accelerated innovation could raise the problem of the reliability and validity of the research findings. Additional research will probably be required to adapt the proposed framework to accommodate the cultural nuances of other countries and business environments.

Practical implications

The study is intended as a framework for managers to apply their resources to conduct product innovation in a fast and effective way. It developed six propositions about how, specifically, data analytics and ICTs can contribute to accelerated innovation.

Originality/value

The research shows that firms could harvest external knowledge and import ideas across organisational boundaries. An accelerated innovation framework is characterised by a multidimensional process involving intelligence efforts, relentless data collection and flexible working relationships with team members.

Details

Industrial Management & Data Systems, vol. 118 no. 6
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 3 July 2020

Yuanzhu Zhan, Kim Hua Tan, Leanne Chung, Lujie Chen and Xinjie Xing

The main purpose of this paper is to investigate how social media can provide important platforms to facilitate organisational learning and innovation in new product development…

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Abstract

Purpose

The main purpose of this paper is to investigate how social media can provide important platforms to facilitate organisational learning and innovation in new product development (NPD) process.

Design/methodology/approach

Using a multiple case-study approach, this study assesses qualitative data collected via 56 interviews from 13 world-leading Chinese companies in the high-technology industry.

Findings

The study identified three distinct types of organisational learning mechanisms for firms to extract potential innovation inherent in social media. It further determined various organisational enablers that facilitate the connections between these mechanisms and NPD performance.

Research limitations/implications

This research contributes to the emerging literature on digital product development and organisational learning. The cases were conducted in the Chinese context, hence, the results may not be fully generalisable to other organisations, industries and countries without appropriate re-contextualisation.

Practical implications

The empirical evidence showcases the various mechanisms adopted by managers in different NPD phases. It identifies several technological and organisational adaptations that managers can apply to smartly scale their social presence and facilitate NPD.

Originality/value

Despite the exponential growth of social media use in identifying and interacting with external stakeholders, managerial practice and academic research have paid little attention to how social media can be leveraged for NPD. The value of this research comes from applying a qualitative method to gain in-depth insights into the mechanisms for leveraging social media to facilitate innovation in NPD.

Details

International Journal of Operations & Production Management, vol. 40 no. 5
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 6 April 2021

Hugo K.S. Lam and Yuanzhu Zhan

This study empirically investigates how supply chain finance (SCF) initiatives together with different firm capabilities and resources (i.e. information technology (IT…

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Abstract

Purpose

This study empirically investigates how supply chain finance (SCF) initiatives together with different firm capabilities and resources (i.e. information technology (IT) capability, operational slack and political connections) affect the financial risk of service providers.

Design/methodology/approach

This study collects secondary longitudinal data to test for a direct impact of SCF initiatives on service providers' financial risk. It further investigates the moderating effects of the service provider's IT capability, operational slack and political connections. Additional tests and analytical strategies are performed to ensure the robustness of the results.

Findings

The findings indicate that SCF initiatives help service providers mitigate financial risk. The risk reduction is greater for service providers with higher IT capability, operational slack and political connections, but the last factor applies only to multinational corporations, not domestic companies.

Research limitations/implications

The data used in this research is limited to SCF service providers publicly listed in the United States, which may restrict the generalisability of the findings. Nonetheless, the research urges scholars to focus more on the financial risk implications of SCF in different market contexts.

Practical implications

This study encourages service providers to embrace the power of SCF initiatives for mitigating financial risk and allows them to evaluate their SCF investments in light of different firm capabilities and resources.

Originality/value

This is the first study investigating the impacts of SCF initiatives and various firm capabilities and resources on service providers' financial risk. The empirical findings provide important implications for future research and practices.

Details

International Journal of Operations & Production Management, vol. 41 no. 4
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 8 May 2017

Shaoling Fu, Yuanzhu Zhan and Kim Hua Tan

Corporate social responsibility (CSR) has received a large amount of attention in research and in practice. As a response to the growing awareness of and concern about social and…

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Abstract

Purpose

Corporate social responsibility (CSR) has received a large amount of attention in research and in practice. As a response to the growing awareness of and concern about social and environmental issues, an increasing number of companies are integrating their supply chains and building an alliance of “a company + farmers”. The overall research question of this study is derived from the literature, and this paper aims to identify factors that influence the integration of the agriculture supply chain and to explore the relationship between these factors and quality performance.

Design/methodology/approach

The analysis is based on questionnaire survey data collected from 462 Chinese farmers under the organization pattern of “a company + farmers”. A structural equation model is applied in the empirical analysis of the relations among trust, relationship commitments of different types (normative and instrumental), supply chain integration and quality performance.

Findings

An understanding of the various influences on supply chain integration and quality performance is important in relation to CSR in Chinese agriculture. The results show that supply chain integration has positive effects on quality performance. Moreover, farmers’ normative relationship commitment to the company is positively related to supply chain integration. However, farmers’ instrumental relationship commitment to the company does not significantly affect the degree of integration between farmers and companies. Furthermore, trust has positive influences on the two types of relationship commitment and on supply chain integration.

Research limitations/implications

The findings provide a theoretical basis and practice guidelines for agricultural enterprises to manage CSR under the pattern of “a company + farmers”. The results help enterprises to acquire detailed information about the entire process of agricultural production, improve the quality and safety of primary agricultural products and enhance the competitiveness of Chinese agricultural products in the market.

Originality/value

The e-book shows that enterprises working within Chinese agriculture supply chains have a long tradition of working with CSR and supports cooperation between the European Union and China on food and agriculture.

Details

European Business Review, vol. 29 no. 3
Type: Research Article
ISSN: 0955-534X

Keywords

Article
Publication date: 22 August 2023

Fei Ye, Min Ke, You Ouyang, Yina Li, Lixu Li, Yuanzhu Zhan and Minhao Zhang

While the usage of digital technology can bring many operational improvements for firms, it is unclear whether it can effectively improve firm resilience to deal with supply chain…

Abstract

Purpose

While the usage of digital technology can bring many operational improvements for firms, it is unclear whether it can effectively improve firm resilience to deal with supply chain disruptions caused by emergencies such as COVID-19. From a dynamic capability perspective, this study aims to investigate how digital technology usage can improve firm resilience in a rapidly changing and turbulent environment.

Design/methodology/approach

Based on the survey sample of 237 Chinese firms, the stepwise regression approach was used to examine the proposed research hypotheses.

Findings

The empirical evidence shows that digital technology usage has a U-shaped effect on firm resilience, and that effect is fully achieved by first affecting market acuity and then promoting resource reconfiguration. Moreover, the authors further found that the U-shaped association between digital technology usage and firm resilience is derived from the U-shaped association between digital technology usage and market acuity.

Originality/value

This study enriches the resilience literature by revealing the mechanism of digital technology usage’s effects rather than focusing on the role of specific digital technologies. This study also provides guidance for firms to develop effective digital technology usage strategies.

Details

Supply Chain Management: An International Journal, vol. 29 no. 1
Type: Research Article
ISSN: 1359-8546

Keywords

Article
Publication date: 5 June 2017

Yuanzhu Zhan, Kim Hua Tan, Guojun Ji, Leanne Chung and Minglang Tseng

The purpose of this paper is to suggest how firms could use big data to facilitate product innovation processes, by shortening the time to market, improving customers’ product…

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Abstract

Purpose

The purpose of this paper is to suggest how firms could use big data to facilitate product innovation processes, by shortening the time to market, improving customers’ product adoption and reducing costs.

Design/methodology/approach

The research is based on a two-step approach. First, this research identifies four potential key success factors for organisations to integrate big data in accelerating their product innovation processes. The proposed factors are further examined and developed by conducting interviews with different organisation experts and academic researchers. Then a framework is developed based on the interview outputs. The framework sets out the key success factors involved in leveraging big data to reduce lead times and costs in product innovation processes.

Findings

The three determined key success factors are: accelerated innovation process; customer connection; and an ecosystem of innovation. The authors believe that the developed framework based on big data represents a paradigm shift. It can help firms to make new product development dramatically faster and less costly.

Research limitations/implications

The proposed accelerated innovation processes demand a shift in traditional organisational culture and practices. It is, though, meaningful only for products and services with short life cycles. Moreover, the framework has not yet been widely tested.

Practical implications

This paper points to the vital role of big data in helping firms to accelerate product innovation processes. First of all, it allows organisations to launch new products to market as quickly as possible. Second, it helps organisations to determine the weaknesses of the product earlier in the development cycle. Third, it allows functionalities to be added to a product that customers are willing to pay a premium for, while eliminating features they do not want. Last, but not least, it identifies and then prioritises customer needs for specific markets.

Originality/value

The research shows that firms could harvest external knowledge and import ideas across organisational boundaries. An accelerated innovation process based on big data is characterised by a multidimensional process involving intelligence efforts, relentless data collection and flexible working relationships with team members.

Details

Business Process Management Journal, vol. 23 no. 3
Type: Research Article
ISSN: 1463-7154

Keywords

Article
Publication date: 11 September 2017

Mohd Helmi Ali, Yuanzhu Zhan, Syed Shah Alam, Ying Kei Tse and Kim Hua Tan

The purpose of this paper is to establish a conceptual model adopted from a strategy-structure-performance paradigm for investigating the fit between the supply chain integration…

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Abstract

Purpose

The purpose of this paper is to establish a conceptual model adopted from a strategy-structure-performance paradigm for investigating the fit between the supply chain integration and halal food supply chain integrity and the impact of halal food supply chain integrity on firms’ performance in a Malaysian context.

Design/methodology/approach

This study comprises a sample of a halal manufacturing firm in Malaysia. A cross-sectional research design was used in this study. Data were gathered based on mailed and personally administered questionnaires. SmartPLS was used to analyse the 254 valid responses.

Findings

The research findings indicate that internal integration and strategy have positive impact on halal food supply chain integrity. The study results confirmed that customer integration and supplier integration contributes to halal food supply chain integrity. It also finds that halal food supply chain integrity has a significantly positive impact.

Research limitations/implications

The results suggested that a strategic collaboration with the supplier pivoted around the quality and integrity of the raw materials should be undertaken.

Practical implications

The results from this study supports that the managers should adopt all halal food supply chain integrity components to achieve a superior performance. Even though some of the components did not yield significant results in terms of their relationships with firms’ performance, these dimensions were generally related to the standardised industry requirements, such as certifications.

Originality/value

The findings are original and unique and are based on established theories from the literature on supply chain management practices. The research findings are useful to academics and policymakers interested in fostering a halal supply chain in Malaysia.

Details

Industrial Management & Data Systems, vol. 117 no. 8
Type: Research Article
ISSN: 0263-5577

Keywords

Content available
Article
Publication date: 5 June 2017

Professor Samuel Fosso Wamba

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Abstract

Details

Business Process Management Journal, vol. 23 no. 3
Type: Research Article
ISSN: 1463-7154

Abstract

Details

International Journal of Operations & Production Management, vol. 41 no. 4
Type: Research Article
ISSN: 0144-3577

1 – 10 of 15