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This paper aims to investigate the temporal dynamics of users browsing activity on a hotel website in order to derive effective marketing strategies and constantly improve website effectiveness. Users' activities on the hotel's website on yearly, monthly, daily and hourly basis are examined and compared, demonstrating the power of informatics and data analytics.

A total of 29,976 hourly Weblog files from 1 August 2014 to 31 December 2017 were collected from a luxury hotel in Hong Kong. ANOVA and post-hoc comparisons were used to analyse the data.

Users' browsing behaviours, particularly stickiness, on the hotel website differ on yearly, monthly, daily and weekly bases. Users' activities increased steadily from 2014 to 2016, but dropped in 2017. Users are most active from July to September, on weekdays, and from noon to evening time. The month-, day-, and hour-based behaviours changed through years. The analysis of big data determines strategic and operational management and marketing decision-making.

Understanding the usage patterns of their websites allow organisations to make a range of strategic, marketing, pricing and distribution decisions to optimise their performance. Fluctuation of website usage and level of customer engagement have implications on customer support and services, as well as strategic partnership decisions.

Leveraging the power of big data analytics, this paper adds to the existing literature by performing a comprehensive analysis on the temporal dynamics of users' online browsing behaviours.

The purpose of this commentary is to reflect on the transformative changes organisations experience, in the form of increased use of emergent information and communication technologies (ICTs), as a significant factor in enabling the continuation of normal business practices during the COVID-19 pandemic, and subsequent key ethical considerations in the use of new technology by organisations.

This commentary adopts a reflective approach and is based on a review of theories on diffusion of innovation, dynamic capabilities and data ethics and governance, as well as up-to-date business reports to reflect on the ethical implications of new technologies for organisations.

Organisations from different industries and sectors around the world have experienced major disruptive changes because of the COVID-19 pandemic. Adoption and integration of new ICTs occurred at an accelerated pace in a collective effort to maintain “business as usual”. The use of emergent technologies is not without risks. The commentary argues that, in times of crisis, it is vital that organisations address the growing concerns around privacy and security of personal data by designing effective data governance frameworks that go beyond a mere compliance with existing policies and prevailing data privacy and protection laws to ensure data security and protection for all stakeholders.

This commentary is making the case for more considered approaches to data governance and data ethics in business following the unprecedented challenges posed by the recent COVID-19 pandemic and suggests possible ways of moving forward from an ethical perspective.

The purpose of this paper is to analyse how start-ups with a clear sustainability focus collaborate with multiple actors at different levels to pursue business ideas and develop sustainable freight transport solutions.

This paper builds on a theoretical approach that includes three levels of analysis: the actor level (micro), business-network level (meso) and society and government level (macro). An embedded case study is used of a focal start-up aiming to innovate on networked platforms and electric and autonomous vehicles (EAVs).

Activities and resources are developed at the firm (micro), network (meso) and societal levels (macro), and all three levels need to be considered for a start-up, with a clear sustainability focus. Interaction within as well as between levels affects the innovation development, integration and implementation. The many-folded collaborations at the meso level serve as a locus for the integration of EAVs. The start-up’s networking activities with actors at meso and macro levels contribute to it gaining legitimacy in the transport system.

This paper focuses on the importance of collaboration in the context of developing innovative solutions for environmental sustainability and freight transport and provides a unique case of how a start-up company manages collaborations at the micro, meso and macro levels.

Retailer loyalty card marketing intelligence presents actual customer purchasing preferences, competitor activities and performance. Typically, extant literature implies that larger firms with formal marketing planning approaches will be more able to leverage it, structured as it is within a formalized statistical format. Small business literature on the other hand emphasizes their more informal approach to marketing planning. The purpose of this paper is to consider, for the first time, the potential relationship between retailer loyalty card marketing intelligence and small business market orientation.

A conceptual model is developed which diagrammatically interprets how retailer loyalty card marketing intelligence can relate to small business market orientation. Propositions provide a basis for further discussion with applied and research implications.

A pertinent aspect of the conceptualization is the role of small business owner‐manager insight and intuition within an experiential learning context. A complementary relationship is posited in the leveraging of retailer loyalty card marketing intelligence to enhance small business market orientation, which with higher levels of entrepreneurship orientation can lead to positive organizational outcomes, such as facilitating more successful and informed engagement with larger suppliers.

The paper addresses the increasing pressure small businesses face in dealing with retailer loyalty card marketing intelligence. Generally, literature has yet to adequately address marketing planning implications for firms. The informal/formal tension when considering small businesses presents a particularly interesting area of conceptual development, integrating market orientation literature and also recent developments which point to interaction between market and entrepreneurship orientations. This paper therefore provides a basis for a new small business research agenda in an area which is highly topical and important, with a synthesis of the extant literature in developing a conceptualization and propositions. The conceptualization and propositions can facilitate the development of new research and thinking in this potentially fruitful area of future enquiry.

As trade policy disruption has become more commonplace, so have the calls for blockchain as a solution. But often the reasoning for this link has been unclear. Using the case study of Brexit as a baseline, the authors map four sources of trade-based uncertainty and explore the extent to which blockchain applications could – when implemented – attenuate supply chain disruption, which has lead to firms taking second best options like reducing investment and switching suppliers. Because the law has not kept pace with technology, the discussion also highlights prominent legal questions raised by blockchain in each instance.

Business‐process redesigns (BPR) and information technology (IT) are natural partners, yet this relationship has not been fully exploited. Those organizations that have used IT to reengineer processes have benefited enormously. This article argues that those aspiring to do business process redesign must begin to apply the capabilities of information technology. Process redesign is not always successful and almost always accompanied by pain or at least unpleasant side effects. Many companies have undertaken reengineering efforts only to abandon them with little or no positive result. How can you increase the odds for success? Here are a few lessons from the front.

Smart manufacturing (SM) lies at the core of Industry 4.0. Uniform adoption of SM across business partners is crucial to exploit its value creation potential. However, firms' willingness to invest in SM is limited by insufficient or inconclusive evidence on its performance-related benefits. To close this gap, this paper develops and tests a model linking SM adoption to firms' financial performance. Improvements along the four dimensions of operational performance (i.e. cost quality, delivery and flexibility) mediate this relation.

This study follows an empirical research approach. In particular, survey data from 234 automotive component suppliers are analyzed via covariance-based structural equation modeling to explore the link between SM adoption and operational performance. Survey data are then matched with secondary data from balance sheets of 81 firms to investigate the impact of SM on financial performance via partial least square structural equation modeling.

Findings highlight that adoption of SM results in improvements in cost, quality, delivery performance, thus suggesting that SM is a mean to overcome performance trade-offs. Improvements in operational performance enabled by SM do not give rise to superior financial performance, thus implying that SM might support firms in maintaining the competitive position in the market, but could be insufficient to generate higher margin.

Results have implications for SM research and for manufacturing executives engaged in the adoption of SM, as they provide a detailed analysis of the impact of SM on operational performance and clarify the effect that SM adoption has on financial performance.

Thirty‐six people attended this SMART Group Seminar at the Bowler Hat Hotel in Birkenhead, Merseyside, on 20 February 1990. The technical programme in the morning comprised five talks: