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Founded in San Francisco in 2009, Square finished 2012 as the darling of Silicon Valley; flush with more than $340 million in funding, the firm had grown to several hundred employees in just three short years. It processed more than $10 billion annually in credit and debit card payments from small business owners that used Square’s smartphone-enabled card swipe device wherever cellular or wireless Internet service was available.

However, Square’s success had attracted new entrants into the mobile payments processing space, both in the United States and abroad, threatening to derail the company’s remarkable trajectory. With its latest financing round valuing the company in excess of $3.4 billion, management and investors were considering which strategies would continue—even accelerate—the company’s growth

Square presents an opportunity for classes in strategy and technology management to contemplate the following:

• How can a startup disrupt an established set of incumbents without provoking a harsh competitive response?

• How can a growth company in a rapidly changing industry expand beyond the core competency that fueled its initial growth?

• Which growth platforms make the most sense for a company in a complicated ecosystem with many players offering divergent solutions?

How can a startup disrupt an established set of incumbents without provoking a harsh competitive response?

How can a growth company in a rapidly changing industry expand beyond the core competency that fueled its initial growth?

Which growth platforms make the most sense for a company in a complicated ecosystem with many players offering divergent solutions?

In this paper, we analyze statistical properties of stated choice experimental designs when model attributes are functions of several design attributes. The scheduling model is taken as an example. This model is frequently used for estimating the willingness to pay (WTP) for a reduction in schedule delay early and schedule delay late. These WTP values can be used to calculate the costs of travel time variability. We apply the theoretical results to the scheduling model and design the choice experiment using measures of efficiency (S-efficiency and WTP-efficiency). In the simulation exercise, we show that the designs based on these efficiency criteria perform on average better than the designs used in the literature in terms of the WTP for travel time, schedule delay early, and schedule delay late variables. However, the gains in efficiency decrease in the number of respondents. Surprisingly, the orthogonal design performs rather well in the example we demonstrated.

Studies have shown that managing household solid waste from low-cost housing in urban and sub-urban communities is challenging, especially in developing countries and COVID-19 era. Previous research proved that the fourth industrial revolution (4IR) technologies could be engaged to improve urban public services such as household solid waste. Thus, the study investigated 4IR role in improving low-cost housing solid waste management (LCHSWM) in the COVID-19 era across Malaysia's cities.

The researchers selected four Malaysian cities (Pulau Pinang, Kuala Lumpur, Kuching and Putrajaya) to achieve the study's objectives via a qualitative research design. The study engaged forty experts through semi-structured virtual interviews. A thematic approach was used to analyse the collected data.

Findings identified initial high implementation and maintenance costs, unwillingness to accept change, inadequate knowledge and skilled personnel to manage the operation, amongst others, as the perceived challenges facing 4IR technologies in managing low-cost housing solid waste across Malaysian cities in the COVID-19 era. Also, the study proffered measures to improve 4IR technologies usage.

This paper is limited to the perceived contributory challenges and proffered measures to improve 4IR technologies usage in managing LCHSW across Malaysian cities in the COVID-19 era.

Proffered measures will stir policymakers and the political class (city councils) to start thinking of an all-inclusive approach to addressing the issue of LCHSW in the 21st century. As part of the practical implications, the possible outcome might enhance collaboration between the public and private sectors to better service delivery to mitigate environmental degradation.

As revealed in the review, there is a paucity of literature regarding digital technology's roles in mitigating LCHSW across Malaysian cities in the COVID-19 era.

This paper seeks to explore whether the Western concept of servant leadership holds the same meaning in the public sector of the cross‐cultural context of China and to identify whether there is an alternative term in the Chinese language that closely relates to the concept of servant leadership

An inductive approach is adopted based on critical incident technique, using an open‐ended survey to collect the data.

It was found that the concept of servant leadership holds parallel meaning in China to that of the West and that the Chinese concept of servant leadership can be described precisely as public servant leadership in the public sector and servant leadership in the non‐public sector. When asked to characterize Chinese servant leadership in the public sector, the study respondents consider six types of servant leadership similar to the West but also three types of Chinese extended servant leadership.

The paper is a first attempt to examine servant leadership in the public sector in China. It not only reports various forms of Chinese servant leadership orientation, but also compares and contrasts various servant leadership forms between China and the West, highlighting research gaps for future research within the context of the People's Republic of China (PRC) and the West.

This paper aims to identify, synthesise and critically examine the extant academic research on the relation between big data analytics (BDA), corporate accountability and non-financial disclosure (NFD) across several disciplines.

This paper uses a structured literature review methodology and applies “insight-critique-transformative redefinition” framework to interpret the findings, develop critique and formulate future research directions.

This paper identifies and critically examines 12 research themes across four macro categories. The insights presented in this paper indicate that the nature of the relationship between BDA and accountability depends on whether an organisation considers BDA as a value creation instrument or as a revenue generation source. This paper discusses how NFD can effectively increase corporate accountability for ethical, social and environmental consequences of BDA.

This paper presents the results of a structured literature review exploring the state-of-the-art of academic research on the relation between BDA, NFD and corporate accountability. This paper uses a systematic approach, to provide an exhaustive analysis of the phenomenon with rigorous and reproducible research criteria. This paper also presents a series of actionable insights of how corporate accountability for the use of big data and algorithmic decision-making can be enhanced.

This paper discusses how NFD can reduce negative social and environmental impact stemming from the corporate use of BDA.

To the best of the authors’ knowledge, this paper is the first one to provide a comprehensive synthesis of academic literature, identify research gaps and outline a prospective research agenda on the implications of big data technologies for NFD and corporate accountability along social, environmental and ethical dimensions.

Managing biosphere reserves (BR) have become more challenging regarding the socio-cultural conflict between communities and BR administrators. For the past two decades, community participation (CP) has become the central narrative for BR management practices in Asia. This paper aims to set out to analyse the current literature because of the paucity of systematic reviews on CP in Asian BR. Also, it proffers possible solutions to enhance biosphere performance.

In total, 31 related studies were identified from the Scopus, Web of Science databases and materials from organisations in the field of practice of territorial conservation. Three themes emerged from the review – willingness to participate, encumbrances and possible solutions.

Factors that influence community willingness to participate in a BR, encumbrances facing the community and possible policy solutions to enhance CP in a BR in Asia were the three themes that emerged from the review. The factors that influence community willingness were categorised into the level of participants in education, perceived waste of time, no confidence of the outcome, okay with current management, land owned, household size and gender factors.

This paper’s recommendations were based on empirical literature reviewed systematically but do not compromise the robustness concerning BR management practices in Asia. It was established that to enrich the findings of this research, regional studies of CP in BR should be conducted, including primary source data using the mixed methods paradigm.

As part of the practical implications, recommendations were highlighted to enhance CP in BR. Also, the paper suggested that BR administrators should have two-way communication mechanisms, cross-sectoral participation and collaboration, implement locally-based solutions through full engagement of community members in decision-making.

This is probably the first systematic review paper on BR management practices in Asia. Filling the theoretical gap via systematic review was part of the significant contribution to CP in Asian BR.

The purpose of this study is to explore the effect of managerial ability on voluntary environmental, social and governance (ESG) disclosure and assurance. By focusing on managerial ability, this study provides a more nuanced understanding of the factors influencing a firm’s ESG disclosure and assurance practices. This study contributes to a relatively unexplored area of study regarding the role of top management in promoting ESG reporting.

This study draws on a sample of publicly listed firms from 2014 to 2019 in Taiwan and applies the data envelopment analysis method to measure managerial ability. Heckman’s (1979) two-step model is used to estimate the primary models to prevent the results from being affected by possible bias because of self-selection.

The empirical evidence suggests that managerial ability is positively related to voluntary ESG disclosure and intention to seek third-party assurance of the report. Overall, managerial ability determines whether a firm will use voluntary ESG disclosure and assurance as a corporate strategy to respond effectively to stakeholders’ needs. The findings are robust after using alternative measures of managerial ability.

Investors and other stakeholders keen on seeking ESG information offered by companies could find the findings of this study valuable. By better comprehending how managerial competence impacts voluntary ESG disclosure and assurance, stakeholders may be better equipped to hold companies responsible for their ESG disclosure practices and make informed investment decisions.

In the ESG decision-making process, managers with better abilities have a higher tendency to use voluntary disclosure and assurance as a part of the company’s sustainable policy.

Unlike previous studies of the determinant factors of ESG disclosure, which mainly explore factors at the national or corporate level, this study focuses on factors at the individual level (i.e. managerial ability) to fill the gap in the literature. This study also presents empirical evidence that corroborates the idea that managerial competence can influence not only ESG disclosure but also the voluntary assurance of ESG information.

Purpose: This paper presents a review of the current state and potential capabilities for application of robots, artificial intelligence and automated services (RAISA) in hotel companies.

Design/methodology/approach: A two-step approach was applied in this study. First, the authors make a theoretical overview of the robots, artificial intelligence and service automation (RAISA) in hotels. Second, the authors make a detailed overview of various case studies from global hotel practice.

Findings: The application of RAISA in hotel companies is examined in connection with the impact that technology has on guest experience during each of the five stages of the guest cycle: pre-arrival, arrival, stay, departure, assessment.

Research implications: Its implications can be searched with respect to future research. It deals with topics such as how different generations (guests and employees) perceive RAISA in the hotel industry and what is the attitude of guests in different categories of hotels (luxury and economy) towards the use of RAISA. It also shows what is the attitude of different types of tourists (holiday, business, health, cultural, etc.) and what kinds of robots (androids or machines) are more appropriate for different types of hotel operations.

Practical implications: The implications are related to the improvement of operations and operational management, marketing and sales, enhancement of customer experience and service innovation, training and management.

Originality/value: This book chapter complements and expands research on the role of RAISA in the hotel industry and makes some projections about the use of technologies in the future.

OAIster, at the University of Michigan, University Libraries, Digital Library Production Service (DLPS), is an Andrew W. Mellon Foundation grant‐funded project designed to test the feasibility of using the Open Archives Initiative Protocol for Metadata Harvesting (OAI‐PMH) to harvest digital object metadata from multiple and varied digital object repositories and develop a service to allow end‐users to access that metadata. This article describes in‐depth the development of our system to harvest, store, transform the metadata into Digital Library eXtension Service (DLXS) Bibliographic Class format, build indexes and make the metadata searchable through an interface using the XPAT search engine. Results of the testing of our service and statistics on usage are reported, as well as the issues that we have encountered during our harvesting and transformation operations. The article closes by discussing the future improvements and potential of OAIster and the OAI‐PMH protocol.

We review what is known and what is still unknown about the process of revealing the impact of unreliability on travel choices. We do this from the perspective of a demand-modelling practitioner who wishes to allow for the benefits from improved reliability in the assessment of a transport scheme. We discuss the travel responses affected by unreliability, the requirements from the data used to model these responses, the explanatory variables used in these models and the additional information required as input when applying them. One of our findings is that there is a conflict between existing studies in their conclusions about the aversion to early arrival. Another notion is that it is unclear whether the common simplified treatment of the distribution of preferred arrival times is acceptable. We also suggest that the dominance of departure time shifting as a primary response to unreliability might refute the common assumptions about travellers' choice hierarchy, which was established without considering the impact of unreliability; this raises questions about the robustness of assignment models that do not allow time shifting.