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This study examines the impact of crowdsourcing and open innovation (CSOI) in an emerging country like India. The study also investigates the moderating effects of technology support (TES) on improving firm performance and socio-economic conditions (SEC) in emerging countries.

A theoretical model has been developed with the help of stakeholder theory, dynamic capability view (DCV) and existing literature. Later, the theoretical model is validated using the partial least squares structural equation modelling technique to analyse 303 respondents from India.

The results of this study demonstrate that CSOI has a significant and positive role in the SEC in emerging countries, showing the emergence of an economy close to stakeholder capitalism or the Francesco Pope one. The study also finds that TES significantly moderates successful crowdsourcing practices and open innovation activities, influencing sustainability-related factors.

This study shows that CSOI practices can influence the SECs in emerging countries by improving intermediate sustainability-related contextual issues like environmental, social and economic factors. This implies that CSOI are relevant in emerging countries to ensure the socio-economic growth of the society where so many constraints prevail.

This is a preliminary study on CSOI practices that firms in emerging countries follow. Using stakeholder theory and DCV to develop the unique conceptual model is essential to the body of knowledge. The inclusion of moderators like TES is a unique value proposition. Moreover, the proposed theoretical model has a high predictive power, making the model impactful and novel.

The purpose of this study is to develop a model for investigating the sharing of harmful messages by employees using social media using the conspiracy theory from a socio-legal perspective. This study also examines the moderating role of different demographic parameters such as age, gender and education toward sharing harmful messages using social media.

Using the conspiracy theory and social impact theory as the foundation of this study, the authors developed theoretical model and validated it using the structural equation modeling technique with 342 participants from various organizations across Europe and Asia. The study also used different statistical measures to understand the demographic impacts toward sharing harmful messages.

It was found that epistemic, existential and social motives significantly and positively influence employees’ inappropriate message-sharing and seeking behavior, which in turn influences them to share harmful messages on social media. The study also indicates that there are some moderating impacts of employee demography toward sharing harmful messages using social media platforms.

This study investigates the antecedents of sharing harmful messages using social media by employees. The present study could be useful for the organizations leaders as well as policymakers and legal fraternity. The study uses a limited number of feedback to validate the model. Also, this is a cross-sectional study which is another limitation of this study.

This study has proposed and validated a theoretical model by using the conspiracy theory as well as the social impact theory which is unique. Moreover, this study adds value to the existing literature on the harmful impacts of social media and its societal impacts. Besides, the validated model of this study has a high explanatory power which is another uniqueness of this study.

Amidst the Industry 4.0 landscape, organizations are increasingly harnessing cutting-edge technologies and embracing digital change to fuel innovation. However, the full potential of innovation cannot be realized without organizational readiness. This study explores how various dimensions of organizational readiness and innovation influence digital change and firm performance.

Data were gathered via a survey of 303 managers from both state-owned and private-owned enterprises in Ho Chi Minh City, Vietnam, and analyzed utilizing partial least squares–structural equation modeling (PLS–SEM).

Organizational readiness positively influences both digital change and innovation. Additionally, innovation positively impacts digital change and mediates the relationship between organizational readiness and digital change. Furthermore, both innovation and digital change positively affect firm performance, whereas the control variable of ownership type has no significant correlation with firm performance. Finally, digital change mediates the relationship between innovation and firm performance.

This study contributes to the digital innovation literature by empirically testing the influence of organizational readiness on digital change and innovation within the context of Vietnam. By investigating whether innovation and digital change enhance firm performance, this study also addresses inconsistencies in the literature.

The outbreak of the COVID-19 pandemic caught the world by surprise. Suddenly, people, as well as organizations, needed to adapt to a new reality of work from home, work–life balance, e-leadership, extreme hygiene, and social distancing. Companies had to find new ways to operate, and areas such as Corporate Social Responsibility (CSR) had to react to face the stakeholders' needs. In addition, developing countries had been in a fragile position, as this crisis has deteriorated already weak economic, political, and social conditions. In Mexico, CSR has traditionally assisted on urgent matters such as poverty, hunger, education, work, and other issues that have also been considered in the UN Sustainable Development Goals (SDGs). The aim of this chapter is to describe and analyze CSR response to the COVID-19 crisis of large foreign multinational corporations (MNCs) in Mexico, especially in relation to the SDG agenda. First, we provide a general background of the initial condition, that is, Mexico's situation when the pandemic arose, as well as common attributes of prepandemic CSR in Mexico. Then, we examine the government's response to the crisis. Afterward, we observe and analyze large foreign MNCs' CSR disclosed activities to face the emergency. Main findings imply that companies switched their usual CSR attention from socioeconomical, institutional, and sustainability goals to primary needs. Lastly, we make recommendations on the future of CSR and the SDG in the so-called “new normal.”

As the International Organization for Standardization (ISO) has stated in their original definition of quality (ISO 8402:1994), quality is “the totality of characteristics of an entity that bear on its ability to satisfy stated and implied needs.” The authors consequently believe that not only learning from challenges – the relevant entity – should be intended as a task aimed to satisfy the needs of both challenged learners and challenged businesses, but also that not all the entity's needs are stated from the beginning of the process.

These were the methodological assumptions of a workshop on destination management held from October 2020 to February 2021 in the frame of tourism studies at the University of Bergamo. Though the workshop was entirely run through digital channels in a time of pandemic, it successfully provided five destination management organizations (DMOs) and an association among hosts in the Bergamo Alps with a variety of digital communication products.

The workshop was special in terms of satisfaction expressed by participants as well as the involved DMOs. The participants' deliveries became active components of the destinations' policies. A professional video came as a welcome addition.

Implied needs which the workshop came across – namely, doubts on the reliability of tourism data, cooperation among local actors, prerequisites in building a new website, the role of food and recipes in promoting a destination identity, best practices in guiding guests through planned itineraries, and the role of a city administration in controlling overtourism – were identified while researching and producing.

The purpose of this paper is to explore the perceptions of operating room staff towards the use of the World Health Organization Surgical Safety Checklist in a tertiary hospital in Jordan.

This was a qualitative descriptive study. Semi-structured interviews were conducted with a purposeful sample of 21 healthcare staff employed in the operating room (nurses, residents, surgeons and anaesthesiologists). The interviews were conducted in the period from October to December 2021. Thematic analysis was used to analyse the data.

Three main themes emerged from data analysis namely compliance with the surgical safety checklist, the impact of surgical safety checklist, and barriers and facilitators to the use of the surgical safety checklist. The use of the checklist was seen as enabling staff to communicate effectively and thus to accomplish patient safety and positive outcomes. The perceived barriers to compliance included excessive workload, congestion and lack of training and awareness. Enhanced training and education were thought to improve the utilization of the surgical safety checklist, and help enhance awareness about its importance.

While steps to utilize the surgical safety checklist by the operation room personnel may seem simple, the quality of its administration is not necessarily robust. There are several challenges for consistent, complete and effective administration of the surgical safety checklist by the surgical team members. Healthcare managers must employ interventions to eliminate barriers to and offer facilitators of adherence to the application of the surgical safety checklist, therefore promoting quality healthcare and patient safety.

The study explores the connection between foresight and Artificial Intelligence (AI) methods in a community within an environment of social instability in Colombia. It aims to contribute to research on aligning these methods for future-shaping, with the goal of enhancing shared governance, peer learning and collective learning among traditional decision-makers and local communities in emerging countries. The study seeks to foster a community of social actors who are likely to engage constructively in strategic dialogues. To enhancing shared governance and learning a hybrid model is synthesized, combining foresight and computational intelligence.

The case study explores the integration of computational intelligence and foresight through Gaston Bachelard's (Bachelard, 1936) phenomenology concept of ante-perception. The mathematical representation of the cone of scenarios provides a structured way to explore multiple future pathways, allowing communities to visualize and compare different trajectories and make informed decisions amid uncertainty. The model facilitates critical reflections on present assumptions, deepening insights into future scenarios. Ante-perception challenges traditional approaches to foresight by encouraging a break from established experiences, allowing for novel insights into possible futures. When enriched by computational intelligence, this reflective process is further strengthened by quantitative approach scenario modeling.

This research develops and tests a proposal that includes the logic and methods for constructing a mathematical representation of the cone of scenarios. This process, which is interactive and deliberative, is driven by anticipation and combines qualitative and quantitative approaches within a context of high uncertainty. By combining the critical reflection facilitated by ante-perception with the predictive power of computational intelligence, the model allows communities to transcend established thought patterns and explore innovative future possibilities. This integrative approach helps them envision and work toward social self-transformation.

The article aims to identify the creation of scenarios in contexts of high uncertainty, to respond to the needs of communities in emerging countries to manage change.

This article explores a novel approach to using foresight for address collective intelligence by developing a shared future vision in high-uncertainty contexts within local communities in emerging countries. The application of the hybrid model demonstrates that foresight is a key innovative social tool for developing long-term strategic reflection and planning for territories.

In developing long-term reflective processes, explaining phenomena, mechanisms and correlations requires the use of value judgments. This set of value judgments requires a representation that facilitates their treatment, helps to account for their behavior during the inference process to form a shared future vision. Consequently, ensuring the recognition of the opinions of local communities through participatory discussion spaces and their subsequent refinement, from a technical perspective, aims to illustrate the development of this social construction process. While similarities exist, differences add value through a transfer process, often subconscious. This process stimulates collective learning and builds capacities as knowledge is developed through inquiry, evaluation, interpretation and generalization.

This research provides a unique hybrid model that fosters collective learning and engagement by integrating local community perspectives with advanced computational intelligence methods. By facilitating both reflective and quantitative approach future-shaping, it offers a practical framework for addressing uncertainty while empowering communities to shape their own futures. It underscores the importance of recognizing local community views through bottom-up participatory discussions, thereby widening the stakeholder community to active engagement in addressing broader societal issues. The case study focuses on community collaboration in Puerto Gaitán, a Colombian municipality.