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Designing effective business analytics (BA) platforms that visualise data, provide deep insights and support data-driven decision-making is a challenging task. Understanding the elements shaping BA platform design is crucial for success. The purpose of this study is to explore the impact of visualisation on usability (UI) and user experience (UX) while emphasising the importance of insights understanding in BA platform design.

This paper presents a case study following a startup’s journey as it undergoes two redesign phases for its BA platform. A combination of quantitative and qualitative methods is used to assess UX/UI and insights understanding of the platform. Indicatively this included semi-structured interviews, observations, think-aloud techniques and surveys to monitor runtime per task, number of errors, users’ emotions and users’ understanding.

Our findings suggest that modifications in aesthetics and information visualisation positively influence overall usability, UX, and understanding of platform insights – a critical aspect for the success of the startup.

Our goal is not to make a methodological contribution, but to illustrate how companies, constrained by time and pressure, navigate platform changes without meticulous design and provide learnings on important elements while designing BA platforms.

This paper concludes with suggested methods for assessing BA platforms and recommends practical practices to follow. These practices include recommendations on important elements for BA platform users, such as navigation and interactivity, user control and personalisation, visual consistency and effective visualisation.

This study contributes to practice as it presents a real-life case and offers valuable insights for practitioners.

Discussion regarding systems that promote innovation, aptly named innovation ecosystems, has been intensifying both in academia and business. The purpose of this paper is to introduce the activity theory as a theoretical framework for conceptualising and studying innovation ecosystems. Using the activity theory, it investigates elements that affect the success and viability of innovation ecosystems formed between startups and incumbent firms, collaborating with an established firm within the context of an open innovation programme.

This study uses an exploratory case research approach and proposes the activity theory as a theoretical background to be used in innovation ecosystem research. Based on this approach, this study draws from interviews and research observations in an innovation ecosystem formed between an established firm and various startups that aim to co-develop innovative offerings.

By applying the activity theory tools, this study identifies several contradictions between interacting actors of this innovation ecosystem that can adversely affect the innovation process. Furthermore, it proposes the use of the activity theory as a fitting theoretical lens to study innovation ecosystems.

The novelty of this study is related to the focus on the incumbent–startup context for extending the innovation ecosystem literature. Using the activity theory as a viable methodological tool allows us to conceptualise firms as social constructs and hence pinpoint inner characteristics that can affect and shape their interactions and the broader ecosystem. This process is further enhanced by the use of primary data that give unique insights into the inner workings of innovation ecosystems by identifying underlying contradictions.

The concept of “traceability as a strategy and mandatory initiative” has replaced that of “traceability as a cost of a business or as a voluntary responsibility”. This implies that the introduction of a traceability system should be perceived and positioned as a catalyst for better business practices. However, despite these benefits, a traceability system is also investment‐worthy. Hence, the value of investment in a traceability system constitutes a matter of considerable concern and debate for both practitioners and academics alike. This paper seeks to present a cost‐benefit evaluation applied in a natural mineral water company regarding the pilot deployment of an electronic‐based traceability system.

This is a case based study.

Based on the experience described previously, a high‐level framework is generated that any organisation can refer to as a proper guideline in order to demonstrate how the costs and benefits can be compared for overall evaluation of the deployment of any traceability system. The details of the framework are described by applying it to a specific case.

The present framework has theoretical interest for replicability in a different number of food sectors.

The paper contributes to closing the existing gap regarding the theoretical approach that food traceability systems can adopt when their costs and benefits are investigated.

Empowered by the possibility to automatically identify unique instances, radio frequency identification (RFID) is expected to revolutionize warehouse processes. However, every warehouse differs from each other in several ways. Given such dimensionality, a credible assessment of the true value of RFID requires that the contextual factors that differentiate one warehouse from another are taken into account. The same RFID implementation may generate high productivity in one warehouse but not in another, because the former warehouse may have characteristics that may influence the impact of RFID. As a result, the purpose of this paper is to provide a framework for identifying key contextual factors that appear to be contingent on the link between RFID and warehouse performance.

The framework derived from a two‐phase research design. The first phase incorporated two case studies. This was an exploratory study and, therefore, there was a great deal of iteration between the cases studies and the literature. The objective was to identify important contextual factors that may moderate the impact of RFID. The second phase incorporated simulation modelling. This was a confirmatory study. The objective was to develop two simulation models of the cases from the previous phase, and as a result, verify the effects of particular contextual factors on process performance.

As an outcome of this research, an initial subset of “warehouse contextual factors” is developed that may moderate the impact of RFID on warehouse performance. The framework is not an evaluating technique, but is a useful starting point for examining the value of RFID in the warehouse context.

Further work is required to support the significance of the moderating effects of the proposed contextual factors.

For practicing managers the paper directs attention to key warehouse contextual factors that appear to be contingent on the link between RFID and warehouse performance. It also confirms that the achievement of RFID value is attainable only in combination with the redesign of business processes.

The paper integrates both theoretical and practical considerations regarding formalization of the contextual factors that may moderate the impact of RFID on warehouse performance. Therefore, it represents an initial step in building theory to develop guidelines for understanding the variance in the performance between different RFID‐enabled warehouse settings.

The purpose of this paper is to identify the radio frequency identification (RFID) strategic value attributes (RFIDSVAs) mechanism selections preferences and also integration of RFID tags with technology coordination tools (IRTWTCTs) alternatives ranking performance decisions in supply chain management (SCM). RFID-enabled techno-economic feasibility decisions are enhancing the SC visibility in apparel supply chains (ASCs). The RFIDSVAs mechanism selections have performed significant agility to strategic competitive advantages, namely, inventory visibility, multi-tags ownership transfer within trusted third party, etc.

Fuzzy analytical hierarchy process (FAHP) and FAHP-fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) approaches have been used to evaluate the quantitative assessment of RFIDSVA mechanisms selection decision based on weight priority orders and IRTWTCTs alternatives selection in ASC networks. The comparison of FAHP and FAHP-FTOPSIS approaches to evaluate the integrated framework develop in RFIDSVAs mechanisms and IRTWTCTs alternatives selection decisions in Indian multi-tier ASC networks.

The result found that the FAHP-FTOPSIS approaches have used to prioritizing the RFIDSVA mechanism selection weights and also identify the IRTWTCTs alternatives ranking preferences order in apparel SCM. The comparison between the FAHP and FAHP-FTOPSIS approach to quantitative assessments from RFIDSVA mechanisms and IRTWTCTs alternatives selection decisions, which enable them SC agility potential across multi-tier visibility in ASC networks. ASC stakeholders can be benefited by techno-economic feasibility decisions, RFID-enabled shop floor activities, multi-tags ownerships transfer in SCs and knowledge-based cryptography tags/items separation in SCs.

The research work has considered only five RFIDSVA mechanisms and also three integration of RFIDTWTCTs alternatives in multi-tier ASC. The strategic competitive advantages are achieved by RFID-enabled break-even tags price decisions and also techno-economic feasibility decision by contractual design multi-tier SC stakeholder’s involvements.

The pilot project study explores that the quantitative assessment decision has based on RFID-enable techno-economic feasibility in ASCs. Stakeholders can be benefited by inventory control of the financial losses, reducing the inventory inaccuracies and multi-tags ownership transfer within trusted third-party traceability in ASC networks.

This study explores the RFID-enabled apparel SC process and activities visibility (natural fibre’s fibre producer, fibre dyeing producer, yarn spinning producer, knitting and finishing producer).