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This research attempted to establish the underlying dimensions of supply chain management practices, blockchain technology and supply chain performance in the Indian dairy industry. Additionally, the study proposes a conceptual model that shows the mediating effects of blockchain technology in the relationship between supply chain management practices and supply chain performance.

Structural equation modelling (SEM) is incorporated to examine the proposed model using SPSS and AMOS version 24. The study population includes 119 registered Indian dairy processing units operating in Uttar Pradesh and New Delhi (source: Dairy – India). Individual registered dairy processing unit's top four executives, that is Head of the Dairy Processing Plant, Supply Chain head and Marketing Head, and IT head are chosen as the respondents of the study, which renders the sample size of 476. Judgmental sampling based on the organisation's market position and plant production capacity (i.e. one lakh litre per day) has been set as the benchmark for selecting the dairy processing units. The executives are selected as respondents as they are well-versed in the phenomenon of supply chain management practices, blockchain technology and supply chain performance compared to other staff working in the dairy industry. The data was collected from December 2021 to March 2022 through judgmental sampling. The target sample size was 476, but only 286 questionnaires were received in a completed state and were further used for analysis.

Manufacturing practices, information sharing, distribution management, inventory management and blockchain technology have a significant and positive impact on supply chain performance in the Indian dairy industry. Furthermore, the research demonstrates that blockchain technology partially mediates the relationship between supply chain management practices and supply chain performance in the context of the Indian dairy industry.

This research is focused on the Indian dairy industry operating in only two states, namely New Delhi and Uttar Pradesh. More research is needed to determine whether SCM practices and the prospects for blockchain technology among channel members are universally applicable to merchants in non-dairy products. Similar investigations should be carried out on dairy industry operating in various formats and in numerous geographic locations. Further, case studies can be conducted by future researchers to learn how supply chain management methods are deployed, what precisely these practices entail and what costs and time demands are required by these practices in context of small independent retailers across different germane expanse.

While the available literature on the research area is spread out, the influence of blockchain technology in the Indian dairy industry has not yet been sufficiently analysed. Therefore, the research article focused on exploring underlying dimensions of the constructs of supply chain management practices, blockchain technology adoption and supply chain performance in the context of the Indian dairy industry.

This study aims to assess the technological capability of Chinese internet platforms (BAT: Baidu, Alibaba, Tencent) compared to US ones (GAFA: Google, Amazon, Facebook, Apple). More specifically, this study explores Baidu’s technological catching-up process with Google by analyzing their patent textual information.

The authors retrieved 26,383 Google patents and 6,695 Baidu patents from PATSTAT 2019 Spring version. The collected patent documents were vectorized using the Word2Vec model first, and then K-means clustering was applied to visualize the technological space of two firms. Finally, novel indicators were proposed to capture the technological catching-up process between Baidu and Google.

The results show that Baidu follows a trend of US rather than Chinese technology which suggests Baidu is aggressively seeking to catch up with US players in the process of its technological development. At the same time, the impact index of Baidu patents increases over time, reflecting its upgrading of technological competitiveness.

This study proposed a new method to analyze technology mapping and evolution based on patent text information. As both US and China are crucial players in the internet industry, it is vital for policymakers in third countries to understand the technological capacity and competitiveness of both countries to develop strategic partnerships effectively.

This paper aims to build on current analytics and Big Data definitions and strategies from the literature to develop an overall strategic model connecting knowledge management strategy (KMS) for intellectual capital (IC) acquisition and business use. It also extends the IC research stages to a fifth stage of IC research including IC strategic intent.

A literature review highlights the connections among strategic intent, firm strategy, KMS and a data analytics strategy aligned with firm and KMS strategic intent. An extended model of the interrelationships is developed from the prior research.

A model framework was developed from the literature that connects Big Data to achieve the goals of a firm KMS and demonstrates how Big Data analytics (BDA) needs to shift from being a tactical tool to a strategic knowledge management tool directed by the overall strategy and strategic intent of the firm.

The model presented needs to be empirically tested over a sample of companies and periods to determine if performance improves using this model.

Use of this model proposes that strategic intent will be enhanced and improve the capture of intellectual property derived from advanced analytics and increase sustainable advantages at firm.

The social implications of lack of strong privacy laws coupled with the possible elimination of millions of knowledge worker jobs creates a pressing need for more research into and identification of firm’s and government’s Big Data strategic use for both good and perhaps evil.

The research in this paper extends current models of IC development and adds strategic intent and collective intelligence as the fifth stage of IC research and presents an overall KMS/BDA model.

The purpose of this study is to identify the impact of intellectual capital on the innovation performance of the Jordanian banking sector and identify the moderating role of big data analytics.

For this study's purposes, 333 questionnaires were analysed. Convergent validity, discriminant validity and reliability tests were performed through structural equation modelling (SEM) in the Smart-PLS program. A bootstrapping technique was used to analyse the data.

Empirical results showed that each of the components of intellectual capital and big data analytics explains 63.5% of the variance in innovation performance and that all components of intellectual capital have a statistically significant impact on innovation performance. The results also revealed that the relationship between structural capital and innovation performance is moderated through big data analytics.

This cross-sectional study provides a snapshot at a given moment in time, a methodological limitation that affects the generalisation of its results, and the results are limited to one country.

This study promotes the idea of focusing on components of intellectual capital to enhance innovation performance in the Jordanian banking sector and knowing the effect of big data analytics in this relationship.

This study makes recommendations for financial policymakers to improve the effectiveness of intellectual capital practices and innovation performance in the context of big data analytics.

This study has important implications for leaders in the Jordanian banking sector, in general, as the study highlights the importance of intellectual capital to enhance the innovation performance, especially in light of the big data analytics in this sector, and thus increase the innovative capabilities of this banks, which leads to an increase in the level of innovation.

Understanding a technology’s patent landscape, including patent strategies, helps organizations position themselves regarding their innovation and provides insight about a technology’s future direction. This study aims to provide an overview of the blockchain technology patenting trends and outlines an exploratory framework of patenting strategies for blockchain.

A total of 3,234 registered patents are analyzed to determine the geographical distribution and identify key actors patenting around the globe. In addition, an empirical study consisting of multiple case studies in the form of ten in-depth interviews with owners/managers of organizations based in North America was conducted to understand organizations’ strategies for patenting the blockchain technology.

Several novel insights regarding the strategies are used for blockchain technology patenting. For example, the existence of strong anti-patent sentiment which results in a lack of patenting by start-up organizations or has led to a form of open source patenting strategy. Larger organizations appear to be patenting defensively, and small to medium organizations are primarily patenting to defend their competitive advantage.

Start-up organizations harboring anti-patent sentiment should consider the open-source patenting strategy to ensure that the collaborative innovation network can continue. They should also consider collaborating with other actors within the network to have a competitive position in the market.

To the authors’ knowledge, this paper is the first to conduct an empirical study with organizations currently using the blockchain technology to understand patenting strategies used for blockchain.

This study aims to examine the impact of board female participation on Australian firms’ innovation.

Data are from the 500 largest Australian Securities Exchange (ASX)-listed companies for 2004–2015. Measures of innovation concern input (research and development expenditure and intangible assets) and output (patents registered) indicators.

A positive and significant association exists between female director participation and firm innovation activity. This association exists across industry classifications independent of technological importance and is particularly driven by materials and health-care sectors. Findings support calls for more board diversity in line with board female membership positively influencing innovative investment and development activities.

The economic efficacy of the latest revisions to the ASX Corporate Governance Council principles and recommendations (“ASX CGC revisions”) is supported. Diverse boards are a strong source of innovation. Regulators and corporations can use the findings to establish principles and practices that promote female board diversity.

This study is the first to examine the link between board diversity and corporate innovation in Australia where there is under-representation of women on corporate boards and in key management positions. Also lacking are formal legislative or governance policy mandates on board gender diversity. Beyond confirming a positive association between board diversity and levels of corporate innovation, this paper provides new findings that this relationship is driven by women who are non-executive (independent) directors, independent of the underlying technology intensity of firms and moderated by the nature of firm-level profitability and growth opportunities.

Police agencies are under pressure to improve their performance and provide outstanding services for the community. In response, academics and practitioners have called to adopt effective methods that help these agencies to achieve their goals. Studies reported that benchmarking has a role to improve organisational performance. However, poor evidence of using benchmarking within police agencies and very few studies examine the relationship between it and police performance. Motivated by this gap, this study aims to explore and examine this relationship under the mediating role of innovation culture.

A quantitative methodology was utilised in this study. Data used to examine the hypotheses were obtained from the departments and stations of the Dubai Police Force (DPF), and the population comprised head section officers. A total of 338 questionnaires were distributed to respondents, 252 of which were returned. The hypothesised relationships were tested with the data collected by SPSS and SmartPLS statistical software.

Findings clearly show that benchmarking is directly and indirectly associated with the organisational performance of the DPF through innovation culture. Results support the notion that innovation culture facilitates the implementation of proper benchmarking projects in the DPF, which positively affects different aspects of its performance.

This study includes several limitations. Specifically, the generalisability of the findings should be considered. The analysis applies only to the DPF in the UAE. Thus, investigating and analysing variables in different police agencies in the UAE or internationally would be valuable.

Several recommendations are provided in relation to the obtained results to assist managers and decision makers in the DPF and other police agencies. This study includes suggestions for improving police performance by establishing an innovation culture and adopting benchmarking practices.

Although several contributions indicated that benchmarking and innovation culture is a key determinant of success, the literature lacks empirical studies investigating this link in the police field. This study is the only one to date that examined this relationship in police services. Accordingly, this study seeks to bridge this gap and delivers empirical evidence and theoretical insight to better understand this relationship.