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The rapid advancement of digital technologies has fundamentally changed the competitive dynamics of the logistics service industry and forced incumbent logistics service providers (LSPs) to digitalize. As many LSPs still struggle in advancing their digital transformation (DT), the purpose of this study is to discover barriers and identify organizational elements and associated leading practices for DT success at LSPs.

This study utilizes a two-stage approach. Stage 1 is devoted to a literature review. Stage 2, based on multiple case studies, analyzes information collected across nine international and global LSPs.

This research derives a practice-based definition of DT in the logistics service industry, and it has identified five barriers, eight success factors and associated leading practices for DT. The main obstacles LSPs struggle with, are the complexity of the logistics network and lack of resources, while the main success factor is a leader having and executing a DT vision, and creating a supportive organizational culture.

The results contribute to the emerging field of DT within the logistics and supply chain management literature and provide insights for practitioners regarding how to effectively implement it in a complex industry.

The authors analyze DT from the perspective of LSPs, traditionally not viewed as innovative companies. This study compares their DT with that of other companies.

Even with the recognized impact organizational leaders have on the outcome of digital transformation (DT), a comprehensive scholarly understanding of the competencies that leaders must possess to lead a DT to success is lacking.

To derive and list the competencies considered by experts as necessary for managing DT, the authors recruited 18 international senior managers with relevant experience and applied the Delphi method to survey the managers. Upon the completion of three survey rounds and the authors modifying the response list until consensus was reached, 39 items were shortlisted as constituting key competencies for managing DT. Furthermore, the authors engaged in inductive theorizing to derive propositional statements using these findings.

The practitioners agreed on visionary thinking, agility, understanding the value of data, data-driven decision-making, knowledge of strategy and accepting change as the most important requirements for managing DT. Through inductive theorizing, the authors further derived that the seven discovered clusters fell into two broader competencies – behavioral and strategic – and that each behavioral competency would have varying importance depending on the country and industry that the organization operates in.

As is typical for Delphi studies that involve multiple survey rounds, the study participant response rate was moderate. The implications of this study, in finding that a variety of leadership competencies are needed to ensure successful DT, validate prior research that people, not technology, drive DT.

This study helps mitigate assumptions that successful DT processes are only possible by hiring technological experts, as doing so highlights the importance of behavioral leadership competencies.

The study is one of the first to interlink digital leadership with DT by inductively theorizing behavioral and strategic competencies. The authors also establish that contexts are vital in determining which aspects of leadership competencies are deemed most important in driving DT.

This study sought to distinguish characteristics of cognitive processes while using information technology. In particular, it identifies similarities and differences between mind wandering and cognitive absorption in technology-related settings in an effort to develop a deeper understanding of the role that mind wandering plays when using information technology.

Data was gathered using an online survey including responses from 619 English-speaking adults in 2019. We applied a confirmatory factor analysis and used a robust variant of maximum likelihood estimator with robust standard errors and a Satorra–Bentler scaled test statistic. The data analysis procedure was conducted with the R environment using the psych package for descriptive analysis, and lavaan to investigate the factorial structure and the underlying correlations.

We discuss the benefits of carefully differentiating between cognitive processes in Information Systems research and depict avenues how future research can address current shortcomings with a careful investigation of neurophysiological antecedents.

To date, mind wandering has been explored as a single phenomenon, though research in reference disciplines has begun to distinguish varieties and how they distinctly impact behavior. We demonstrate that this distinction is also important for our discipline by showing how two specific types of mind wandering (i.e. deliberate and spontaneous mind wandering) are differently correlated with sub-dimensions of cognitive absorption, a well-studied construct.

The purpose of this paper is to provide an experiential learning exercise that develops student understanding of social networks within organizations. Understanding these networks can foster complete access to information and inclusive decision-making that translates into career success.

This experiential learning classroom exercise supports all student learning styles using a puzzle to teach students to apply social network theory toward real-world decision-making. This exercise is best used in small and medium-sized classrooms with ideally 15–40 students. This simulation could be used during 50 up through 120-min class sessions.

The game-like environment created by this exercise helps extend real-world understanding that may traditionally be lost with a lecture. Components within this simulation provide balanced consideration for many different learning styles. This exercise has been used successfully within a graduate-level leadership and decision-making course in at least ten sessions over 5 years.

This is a real-time theory to practice application exercise where an experiential activity is deployed for students to understand the practical implications and application of a theoretical concept.

Organizations have internal social networks connecting employees. These connections are how information is dispersed and knowledge is shared. When these networks are understood and effectively used, it can result in more comprehensive problem-solving, valuable collaboration and the maximization of subject matter expertise within the organization.

This is a “how-to” teaching and pedagogical exercise. It is original with the benefit of its flexibility and adaptability in the classroom.

This study aims to understand the extent to which a faculty development program that includes a week-long course design experience followed by sustained support changes new faculty's perceptions, beliefs and teaching practices. The authors employed the teacher professional knowledge and skill (TPK&S) framework and characteristics of effective educational development interventions to drive the program development, implementation and assessment.

This study utilized a mixed methods approach. Data sources include pre-/mid-/post-program responses to a validated survey, pre-/post-program course syllabi analyzed using a validated rubric and pre-/post-classroom observations collected using the Classroom Observation Protocol for Undergraduate STEM (COPUS) instrument.

Findings indicate transformative effects for participants' beliefs about their teaching and changes to their instructional practices. Significant and practical effects were observed across different portions of the program for increases in participants' self-efficacy, endorsement of a conceptual change approach toward teaching and perceptions of institutional support. Participants produced more learning-focused syllabi and many moved toward more student-centered instructional approaches in their teaching practices.

Due to the voluntary nature of the new faculty development program, this study may have been limited by participant self-selection bias and differential sample sizes for the study's individual measures. Future research should consider designs which maximize faculty participation in measurement across all data sources.

This study addresses shortcomings in prior studies which utilized limited data sources to measure intervention impact and answers the call for more rigorous research to obtain a more complete picture of instructional development in higher education.

This paper describes a quality improvement project to improve oversight of quality at national board level using statistical process control (SPC) methods, complimented by a qualitative experience of patients and frontline staff. It demonstrates the application of the “Picture-Understanding-Action” approach and shares the lessons learnt.

Using co-design and applying the “Picture-Understanding-Action” approach, the project team supported the directors of the Irish health system to identify and test a qualitative and quantitative picture of the quality of care across the health system. A “Quality Profile” consisting of quantitative indicators, analysed using SPC methods was used to provide an overview of the “critical few” indicators across health and social care. Patient and front-line staff experiences added depth and context to the data. These methods were tested and evolved over the course of six meetings, leading to quality of care being prioritised and interrogated at board level.

This project resulted in the integration of quality as a substantive and prioritised agenda item. Using best practice SPC methods with associated training produced better understanding of performance of the system. In addition, bringing patient and staff experiences of quality to the forefront “people-ised” the data.

The application of the “Picture-Understanding-Action” approach facilitated the development of a co-designed quality agenda item. This is a novel process that shifted the focus from “providing” information to co-designing fit-for-purpose information at board level.

Our understanding of the influence of institutional conditions on process innovation is still limited, despite managers’ need to know which factors should be considered in decision-making and governments should be aware of how to foster process innovation through the provision of attractive institutions. Therefore, this paper aims to examine how institutional dimensions such as workforce, political instability, labor regulation, corruption, tax administration and transportation influence process innovation in smaller firms located in emerging countries other than the BRICS (Brazil, Russia, India, China and South Africa).

A data set from the World Bank Enterprise Surveys questioning over 20,000 companies from 41 emerging countries supplemented by the gross domestic product (GDP) per capita for each country was used and analyzed by the means of general linear mixed models. The analysis emphasized small- and medium-sized enterprises (SMEs) and excluded BRICS countries.

The findings demonstrate which institutional factors matter for process innovation depending on company size and GDP.

This paper advances research on the influence of institutions on firm innovation – the institution–process innovation relationship in emerging countries other than the BRICS in particular. By considering the role of company size and GDP per capita on the institution–process innovation relationship, the paper offers more nuanced insights compared with prior studies and thus makes a strong contribution to the innovation theory. The data used are not suitable for a longitudinal study the same refers to capturing the variety found in the countries even those coming from the same geographic area.

The results provide practitioners, e.g. managers of SMEs, with concrete ideas on how to improve process innovation in their companies. Other actors such as policymakers too can benefit from the results as they will allow the design of more target group-oriented measures, aspects that can ultimately lead to more sustainable businesses.

By focusing on process innovation and emerging countries, the paper contributes to growing research efforts in emerging countries beyond the BRICS. Thus, the results add more diversity to the study of process innovation and its influencing external (institutional) factors. The emphasis on SMEs also allows us to highlight differences between different categories of SMEs.

Increased digitalization has influenced various business activities including companies’ business models (BMs) by enabling various new forms of cooperation between companies and leading to new product and service offerings as well as new forms of company relationships with customers and employees. At the same time, this digitalization has put pressure on companies to reflect on their current strategy and explore new business opportunities systematically and at early stages. While research on digitalization in the context of BMs is now gaining increased attention, a research gap still exists in this field since the number of empirical insights is limited. The paper aims to discuss these issues.

Qualitative empirical data collected from 12 key informants working in two distinctive industries, the media and automotive industries, were collected. An investigation was carried out to examine the differences and similarities among how digitalization influences a company’s value creation, proposition and capture, as well as how firms cope with challenges presented by increased digitalization.

The findings of the study show that, whilst digitalization is generally considered to be important, the value proposition itself as also the position in the value network determine the perceived available options for business model innovation (BMI) by digitalization. Moreover, the organizational capacities and employee competences were identified as future challenges that will be faced by both industries.

The findings of this study have revealed that representatives of the media and automotive industries perceive both the pressures and opportunities of digitalization regarding BMI; its application and exploitation, however, remain challenging. This study contributes to the existing body of knowledge by providing empirical insights in the context of digitalization and BMI.

This study aims to investigate the impacts of bank capital requirements on the performance and risk of the emerging economy, i.e. Bangladeshi banking sector.

The study applies an unbalanced panel data which comprises 30 banks yielding a total of 413 bank-year observations over the period 2000 to 2015.

Using generalized methods of moments, the empirical results of this research reveal that bank capital is positively and significantly impressive on bank performance, whereas negatively and significantly impact on risk. The study also finds the inverse relationship between risk and performance in both the performance and risk equations. The results also indicate that there is a persistence of performance and risk from one year to the next year.

This is the unique investigation on Bangladeshi bank industry that considers the simultaneous effect of bank capital requirements on risk and performance. Therefore, it is predicted that the empirical evidence of this research shows policy implications to the regulatory authority of Bangladeshi banking industry to determine relevant policies.

Based on the case study of an SME company in the United Kingdom (which we will call SweetStar Cloud), this paper examines the attempts of the company to achieve significant strategic change. The company is attempting to move from being a tradition managed service provider of information services towards becoming a significant influencer in the market for digital services in the UK. As part of a knowledge transfer partnership (KTP), a local UK University has been closely involved in developing this new strategic direction and it is well poised to present and analyse the story. From the use of tried and tested strategic tools, including Porter's generic strategies and segmentation and targeting, the company has also embraced digital-specific approaches for developing partnerships with clients, developing pilot projects and experimenting with its use of social media. At the heart of this research is an analysis of the move from push marketing towards models of attraction. This paper aims to explore how traditional strategic tools are still applicable in the digital era alongside new tactical approaches in the digital sector. This aim has led to an approach to business that is responsible, in terms of moving away from a traditional push-selling model to one of partnership with customers at a strategic level. Strategy in dynamic markets often highlights responsiveness as a key success factor. The ability to respond (a response-ability) requires more agile companies. As SweetStar Cloud has developed its strategy, it has focused in achieving this more effective ability to respond through a more collaborative approach. In this sense, agile response-ability converges with business responsibility, as new abilities in communication, cooperation and trust development become key.