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Although the numbers of online community members continue to increase every day, most of the user-generated content in online communities comes from only a small percentage of members who are motivated to participate and contribute. While studies have been conducted on other professional online communities (e.g. teachers, mathematics practitioners, software developers, etc.), the online community for ServiceNow practitioners is not fully understood. Studies of this group could be useful to organizations that seek to understand ServiceNow practitioners’ motives to participate in these communities, fulfill their specific needs, and build and maintain a thriving community of users.

A qualitative case study method was used to learn what motivates ServiceNow practitioners to contribute and participate in ServiceNow communities. Data were collected from interviews with the participants, their stories and testimonials and physical artifacts created and used by them. Data analysis was carried out using data triangulation and continuous coding process.

Three primary motives were identified: find answers to questions or issues, learn about ServiceNow products and services, and share knowledge and expertise with others.

As a single-case research method was used, findings of this study may not be generalized to a larger population.

Results should encourage and increase participation by ServiceNow Community's members, create a repository of knowledge and relationships that can improve their value and effectiveness, and help their organizations maintain competitive advantage.

The purpose of this study is to understand the scope and nature of information sharing as a form of workplace learning among gig workers.

Data were collected from public social media communities of gig workers in Thailand. In total, 338 posts and 3,022 comments on the posts were analyzed (data corpus N = 3,360). Thailand was selected for the context of this study given its high level of social media penetration, a high percentage of digital service consumption of internet users and the prevalence of app-based gig workers. This study used thematic analysis using inductive and semantic coding to generate themes.

Findings showed two overarching themes of information sharing, which included on-the-job experience and inquiries. One surprising finding was the extent to which gig workers used social media to help others even when it potentially undermined their success.

This study adds evidence to the role of information sharing in workplace learning and illustrates how gig workers who do not have access to traditional training and learning opportunities use social media communities to fill this need.

Given the surge of digitalization and internet infrastructure leading to the rise of gig work worldwide, this study provides a closer look at how gig workers are using social media communities to facilitate workplace learning and support one another amid otherwise difficult and insecure working conditions. It also discusses the role that culture plays in facilitating a cooperative rather than a competitive environment among drivers.

With gaining popularity, online communities are increasing. It is leading to the data and information overflow. So, there are some challenges like cyber frauds, cyberbullying, etc. while engaging with online communities. Not only this, anonymity of the participants, stress and racism are also big challenges in online communities' interaction. Online harassers' attack tactics have changed over time. In addition, there are challenges like quality of discussion, inequality in participation of the users, etc. may scale online communities towards incitement and activism. Therefore, this study will try to analyse these challenges for overall benefit of the society.

The underlying fuzzy set theory is employed to handle the fuzziness of users' perceptions since the attributes are expressed in linguistic preferences. Through exhaustive literature review, the authors have identified 15 challenges. These challenges are further categorised as cause and effect by using DEMATEL (Decision-Making Trial and Evaluation Laboratory) approach.

Lack of strategic planning and uninspired discussions between users has emerged as a major challenge in cause category. This study further demonstrates how individual challenge can be managed and developed to navigate the online communities to maintain a healthy environment in society.

Results are based on limited dataset. Therefore, findings cannot be generalised for all online communities.

The research findings offer a suitable direction to policymakers to formulate and design policies, laws and regulations to increase user engagement in the online community. The study is beneficial to firms and researchers in understanding the factors influencing effective management of online communities.

Several years ago, North Carolina State (NC State) University Libraries technical services department, Acquisitions & Discovery (A&D), merged acquisitions, cataloging, and electronic resources management functions and staff. One intended outcome for the merger included integrating and distributing electronic resources management across all staff positions whereby staff would be trained to manage a larger portion of the life cycle for print and electronic resources. The benefits of a life cycle approach for both print and electronic resources included better staff understanding of resources; staff ownership of packages; and improved staff follow-through, consistency, and ability to troubleshoot. Key positions were reimagined to support this effort. This included the creation of a staff package manager role in the serials unit to provide oversight of e-journal packages, distribute work to staff, and create and maintain an information dashboard (the Electronic Resources Hub) for staff as well as for other stakeholder departments across the libraries. The monographs unit has recently adopted a similar integrated approach to manage NC State's growing collection of e-books. This chapter will outline A&D implementation of two package management models, one for serials and one for monographs; describe the associated tools and technologies used for support; and discuss lessons learned. Benefits will be discussed to illustrate how other libraries might transform their electronic resource management operations by using a package management strategy.

This study aims to explore the emergence of the human resource (HR) analyst role. The job posts on LinkedIn display the industry demand and skills required by the organizations. This study identifies the different knowledge, skills and abilities (KSA) required for an HR analyst role in different stages of professional growth (i.e. entry-level, middle-senior level and top-level) across different industries/sectors as applicable to the crisis.

A total of 80 job posts were extracted from LinkedIn. Details such as industry, job levels, qualifications, job experience, job functions, job descriptions (JDs) and job skills (JS) were collected. Further, 30 videos were extracted from YouTube and converted into text. Text analysis was conducted using NVivo software to analyze JDs, JS and job functions. Using NVivo, word frequency, word cloud, word tree and treemap were created to visualize the data. Finally, ten in-depth interviews were conducted with senior HRA managers based in India to understand the essential competencies required for the HR analyst role and the strategies to develop them.

The findings indicate that not only technical skills are needed, but business and communication skills are particularly important for all job levels during a crisis. The JD word cloud showed words, such as data, business, support and management, and the word tree depicted HR data and change agents as important words with many related sentences as branches. General JS included analytical, communication, problem-solving and management. Technical JS were the most widely used and included structure query language, system applications & products in data processing, human capital management, TABLEAU, management information system and PYTHON. Strategies to develop these competencies included case studies, live projects, internships on HR analytics (HRAs) assignments and mentoring by senior HRA professionals.

The sample used was small, as the study included 80 job posts available on LinkedIn restricted to India. The study was restricted to qualitative approach and text analytics was used. Survey methods and a quantitative approach can be used to collect data from HR recruiters, job holders and senior leaders to understand the role of HRAs in the job market and then these variables can be tested empirically.

Based on the McCartney et al.’s (2020) competency model for the HR Analyst role, this study has explored the KSA framework using data visualization techniques and used text analytics to analyze LinkedIn job posts for different levels, videos from YouTube and in-depth interviews. It also mapped the KSA for the HR analyst role to the various stages of crisis system management given by Mitroff (2005). The use of social media analytics, such as analyzing LinkedIn data and YouTube videos, are highlighted.

The fundamental question asked in this study is – should all firms engage in innovation and branding activities to the same extent to achieve their goals? The purpose of this paper is to answer this question, a strategic typology that integrates branding and innovation (BI) from an organizational ambidexterity perspective is proposed.

This paper builds theory by proposing a typology. Integrating the literature on BI, organizational ambidexterity and resource/knowledge-based view of firms, this study posits that to create a value proposition, a firm could choose to engage in innovation and branding activities in a variety of ways depending on their dominant strategic orientation along two dimensions of ambidexterity.

The four proposed typical branding-innovation orientations are low innovation × low branding; low innovation × high branding; high innovation × low branding; and high innovation × high branding.

A firm should choose its dominant strategic orientation depending on conditions such as market, consumers, needs and demand and resources.

By framing the innovation-branding paradox within an organizational ambidexterity framework, the proposed typology helps integrate two complementary and yet conflicting organizational functions by shifting the focus from an operational to a strategic level.

To address the absence of Lean in transportation logistics in the digital era, this study aims to investigate the application of Lean transportation (LT) tools to reduce waste and facilitate the digital transformation of dedicated road transportation in the offshore industry.

The study adopts action research with a multimethod approach, including a scoping review, focus groups (FG) and participant observation. The research is conducted within the offshore supply chain of a major oil and gas company.

Implementing LT’s continuous improvement tools, particularly value stream mapping (VSM), reduces offshore transportation waste and provides empirical evidence about the intersection of Lean and digital technologies. Applying techniques drawn from organisational learning theory (OLT), stakeholders involved in VSM mapping and FGs engage in problem-solving and develop action plans, driving digital transformation. Waste reduction in loading and unloading stages leads to control actions, automation and process improvements, significantly reducing downtime. This results in an annual monetary gain of US$1.3m. The study also identifies waste related to human effort and underutilised digital resources.

This study contributes to theory and practice by using action research and LT techniques in a real intervention case. From the lens of OLT, it highlights the potential of LT tools for digital transformation and demonstrates the convergence of waste reduction through Lean and Industry 4.0 technologies in the offshore supply chain. Practical outputs, including a benchmarking questionnaire and a plan-do-check-act cycle, are provided for other companies in the same industry segment.