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One way that firms attempt to innovate is through investment in R&D activity. However, there is much heterogeneity in innovations among firms making comparable R&D investments. This article explores employee ownershipʼs moderating effect on the relationship between R&D intensity and innovative output. The basis for the moderation is that ownership increases motivation and commitment to the innovation agenda of the company, and retains employeesʼ entrepreneurial efforts for internal opportunities. Using hierarchical regression, the data support the hypothesis that employee stock ownership positively moderates the relationship between R&D intensity and innovative output. Implications for future research and practice are addressed.

This study aims to provide a systematic review about the Internet of Things (IoT) and its impacts on happiness. It intends to serve as a platform for further research as it is sparse in in-depth analysis.

This systematic review initially observed 2,501 literary articles through the ScienceDirect and WorldCat search engines before narrowing it down to 72 articles based on subject matter relevance in the abstract and keywords. Accounting for duplicates between search engines, the count was reduced to 66 articles. To finally narrow down all the literature used in this systematic review, 66 articles were given a critical readthrough. The count was finally reduced to 53 total articles used in this systematic review.

This paper necessitates the claim that IoT will likely impact many aspects of our everyday lives. Through the literature observed, it was found that IoT will have some significant and positive impacts on people's welfare and lives. The unprecedented nature of IoTs impacts on society should warrant further research moving forward.

While the literature presented in this systematic review shows that IoT can positively impact the perceived or explicit happiness of people, the amount of literature found to supplement this argument is still on the lower end. They also necessitate the need for both greater depth and variety in this field of research.

Since technology is already a pervasive element of most people’s contemporary lives, it stands to reason that the most important factors to consider will be in how we might benefit from IoT or, more notably, how IoT can enhance our levels of happiness. A significant implication is its ability to reduce the gap in happiness levels between urban and rural areas.

Currently, the literature directly tackling the quantification of IoTs perceived influence on happiness has yet to be truly discussed broadly. This systematic review serves as a starting point for further discussion in the subject matter. In addition, this paper may lead to a better understanding of the IoT technology and how we can best advance and adapt it to the benefits of the society.

The paper investigates the governance and administrative process in the Palembang Light Rail Train (LRT) project in Indonesia and gives suggestions on the strategic development of the LRT project for creating a desakota technopole in Palembang.

This paper adopts both STEEP (Social, Technological, Environmental, Economic, Political) analysis and desakota technopole theoretical framework. The STEEP analysis is used to explain the Palembang LRT project which is to meet one of the city’s high-tech urban transportation goals. The desakota technopole framework is used as a strategic urban planning guideline for the further development of Palembang.

This paper has three findings. First, based on STEEP analysis, Palembang needs smart urban transportation, such as LRT, to solve the present and future traffic problems. Second, the governance and administrative process in the LRT project is mandated to national companies as part of a national government infrastructure policy financed over multiple years through the national budget. Third, it is critical for national, provincial, and local governments to adopt a desakota technopole framework strategy to meet long-term targets.

This paper highlights Indonesia experience towards making a desakota technopole, using the Palembang LRT project policy as the key driver under investigation.

Organizations in many domains generate a considerable amount of heterogeneous data every day. Such data can be processed to enhance these organizations’ decisions in real time. However, storing and processing large and varied datasets (known as big data) is challenging to do in real time. In machine learning, streaming feature selection has always been considered a superior technique for selecting the relevant subset features from highly dimensional data and thus reducing learning complexity. In the relevant literature, streaming feature selection refers to the features that arrive consecutively over time; despite a lack of exact figure on the number of features, numbers of instances are well-established. Many scholars in the field have proposed streaming-feature-selection algorithms in attempts to find the proper solution to this problem. This paper presents an exhaustive and methodological introduction of these techniques. This study provides a review of the traditional feature-selection algorithms and then scrutinizes the current algorithms that use streaming feature selection to determine their strengths and weaknesses. The survey also sheds light on the ongoing challenges in big-data research.

In the following theoretical article, the author generates a theory of Leadership Pedagogy and its connection to Creative Arts Education.

The article analyzes Leadership Theory across three pillars: Socio-relational, Cognitive and Creative, and how these areas underscore thoughtful and caring pedagogy and inclusive teaching in undergraduate education.

Drawing on the Scholarship of Teaching and Learning (SoTL), the article advocates for a flexible, multifaceted approach to curricular design rooted in theoretical pluralism, prioritizing interdisciplinary methods to bridge theory and practice in Creative Arts Education.

The article concludes with implications for future research and collaboration connecting Leadership Studies and the Arts.

This paper aims to demonstrate that online complainants’ reactions to a company’s service recovery attempts (webcare) can significantly vary across two different types of dissatisfied customers (“vindictives” vs “constructives”), who have dramatically diverging complaint goal orientations.

Online multi-country survey among 812 adult consumers who recently had a dissatisfying brand experience and turned to a marketer-generated social media site to voice an online complaint for achieving their ultimate complaining goals. Scenario-based online experiment for cross-validating the survey findings.

Results suggest that “vindictive complainants” – driven dominantly by brand-adverse motives – are immune to any form of webcare, while “constructive complainants” – interested in restoring the customer-brand relationship – react more sensitively. For the latter, “no-responses” often trigger detrimental brand-related reactions (e.g. unfavorable brand image), whereas “defensive responses” are likely to stimulate post-webcare negative word-of-mouth.

This research identifies the gains and harms of (un-)desired webcare. By doing so, it not only sheds light on the circumstances when marketers have to fear negative effects (e.g. negative word-of-mouth) but also provides insights into the conditions when such effects are unlikely. While the findings of the cross-sectional survey are validated with an online experiment, findings should be interpreted with care as other complaining contexts should be further investigated.

Marketers have to expect a serious “backfiring effect” from an unexpected source, namely, consumers who were initially benevolent toward the involved brand but who received an inappropriate response.

This research is one of the first research studies that enables marketers to identify situations when webcare is likely to backfire on the brand after a service failure.

This study aims to investigate whether frontline retail banking employees’ proactive personality helps in ameliorating customer engagement. This study further aims to investigate the mediational role of work engagement and service recovery performance in the employee proactivity – customer engagement relationship.

This study used a triadic approach for the collection of primary data. Each triad consisted of a customer, a frontline employee and an immediate colleague of the frontline employee. Structured questionnaires were used to solicit data from the respondents. Specifically, customers were asked to report their level of engagement with the bank and the recovery performance of the employee who redressed their grievances. Frontline employees responded to their level of work engagement while their colleagues reported about the proactive disposition of frontline employees at the workplace.

Empirical findings revealed under service scenario, Indian retail banking employees’ proactive disposition nurtures customer engagement. It was further observed that this relationship is sequentially mediated by work engagement and service recovery performance.

The role of frontline employees in enriching customer engagement has to date remained under-researched among marketing scholars. To the best of the authors’ knowledge, this study is the maiden attempt to relate frontline employee proactivity with customer engagement. Also, this study is one of the early research to investigate customer engagement under a service recovery context, thereby, opening pathways for further exploration.

This study investigates whether corporate executives, who are university alumni, influence each other's firm corporate social responsibility (CSR) performance.

Drawing on social network theory, the authors hypothesise that a firm's CSR performance is positively associated with its peer firms' average CSR performance when the executives of the firm and its peer firms are university alumni. The study employs data from 1,685 listed firms and 4,906 executives who graduated from 585 different universities in China and runs multivariate regressions.

The results reveal a sizeable university peer influence on CSR performance. Such influence is even stronger for executives who graduated from elite universities (e.g. 985 or 211 universities), and universities or programmes that provide more opportunities for alumni reunions or networking (e.g. MBAs/EMBAs). Executives who are more influential in making firm decisions (e.g. CEOs/CFOs), as well as firms that are more likely to mimic the behaviour of others, also show higher degrees of university peer influence.

The results highlight the role of education in ethical decision-making.

This study documents evidence on a new determinant of firm CSR performance. The study sheds light on the impact of non-institutionalised personal ties, for example, university alumni networks, on CSR performance.