Search results

Employee readiness for change is essential for long-term organizational success. However, organizations often struggle to generate employee support for change as they fail to mitigate associated uncertainties. Studies exploring possible antecedents of employee readiness for change primarily focus on internal organizational practices, while external practices have been overlooked in the discussion. Drawing from uncertainty reduction theory, we examine how external organizational practices in terms of external CSR positively affect readiness for change.

In a survey of 377 employees from 29 German companies, we test the hypothesized chain of effects between external CSR, perceived organizational support, perceived uncertainty, and readiness for change by using structural equation modeling.

Results from structural equation modeling demonstrate a positive relationship between external CSR and readiness for change, which is sequentially mediated by perceptions of organizational support and uncertainty.

By highlighting the role of external organizational practices in promoting change readiness, the paper offers new insights into the mechanisms of effective change management.

Using descriptions from participants of ten Australian Football League (AFL) Club boards, the authors offer a rare, in-depth account of board member perceptions of interpersonal relationships between board members and the relational conflict evident. These findings suggest that interpersonal behaviours related to egos, social awareness, transparency and trust, ultimately leads to dysfunctional conflict.

This paper examined the leadership influence on board dysfunctional conflict using the concept of authentic leadership (AL). The authors dismantled board member interpersonal dynamics to explore whether AL may alleviate the issues associated with dysfunctional relational conflict.

In addition, we highlighted the President has a key leadership role, whereby if they are characterised by AL attributes, they can facilitate higher levels of trust amongst board members and ultimately minimise board fragmentation.

Practically, our findings assist boards to identify some of the behavioural antecedents to dysfunctional relationships, therefore assisting leaders to attenuate their influence on board fragmentation and improve board functioning.

The purpose of this study is to identify managerial perceptions, as well as individual and organizational contingencies, that influence the use of balanced scorecard (BSC) among SMEs.

This paper adopts a mixed methods approach to study the use of the BSC from a survey database of 414 SMEs across several industries in Portugal.

This paper shows the perceived benefits, reasoning and obstacles that managers face when using the BSC in SMEs. The BSC is not the first choice for strategic management control of most firms in the sample. Most SMEs in this study have an explicitly formulated business strategy. The results show that it is possible to implement the BSC in SMEs without a formalized strategy. Such findings seem to suggest that the use of the BSC may stimulate the formulation of strategies for those firms.

The use of fuzzy-set qualitative comparative analysis limits the generalization of the findings; nonetheless, the transparency of the report enables replication without restrictions.

This paper proposes that the size of the firm and the characteristics of the manager may compensate for the absence of a strategy to guide BSC use.

This paper advises a match between the stage of development of the SMEs strategy and the gender of the manager, which may have implications for recruitment purposes.

This study reports alternative configurations of individual and organizational conditions that lead to the use of the BSC in SMEs as well as configurations that prevent its use.

El propósito de este estudio es identificar las percepciones de los gerentes, así como las contingencias individuales y organizacionales, que influyen en el uso del BSC entre las PYMEs.

Adoptamos un enfoque de métodos mixtos para estudiar el uso del BSC a partir de una base de datos de encuestas de 414 PYMEs de varias industrias en Portugal.

Mostramos los beneficios percibidos, el razonamiento y los obstáculos que enfrentan los gerentes al utilizar el BSC en las PYMEs. El BSC no es la primera opción para el control de gestión estratégica de la mayoría de las empresas de la muestra. La mayoría de las PYMEs en este estudio tienen una estrategia comercial explícitamente formulada. Los resultados muestran que es posible implementar el BSC en PYMEs sin una estrategia formalizada. Estos hallazgos parecen sugerir que el uso del BSC puede estimular la formulación de estrategias para esas empresas.

Este estudio reporta configuraciones alternativas de condiciones individuales y organizacionales que conducen al uso del BSC en las PYMEs, así como configuraciones que impiden su uso.

El uso de la fsQCA limita la generalización de los hallazgos; no obstante, la transparencia del informe permite replicarlo sin restricciones.

Proponemos que el tamaño de la empresa y las características del gerente pueden compensar la ausencia de una estrategia que oriente el uso del BSC.

Aconsejamos hacer coincidir la etapa de desarrollo de la estrategia para las PYMEs y el género del gerente, lo que puede tener implicaciones a efectos de contratación.

O objetivo deste estudo é identificar as perceções dos gestores, bem como as contingências individuais e organizacionais, que influenciam o uso do BSC entre as PMEs.

Adotamos uma abordagem de métodos mistos para estudar a utilização do BSC a partir de uma base de dados de inquérito a 414 PMEs de diversas indústrias em Portugal.

Mostramos os benefícios percebidos, o raciocínio e os obstáculos que os gestores enfrentam ao usar o BSC nas PMEs. O BSC não é a primeira escolha para o controle estratégico de gestão da maioria das empresas da amostra. A maioria das PMEs neste estudo tem uma estratégia empresarial explicitamente formulada. Os resultados mostram que é possível implementar o BSC nas PME sem uma estratégia formalizada. Tais resultados parecem sugerir que a utilização do BSC pode estimular a formulação de estratégias para essas empresas.

Este estudo relata configurações alternativas de condições individuais e organizacionais que levam à utilização do BSC nas PMEs, bem como configurações que impedem a sua utilização.

O uso do fsQCA limita a generalização dos resultados; no entanto, a transparência do relatório permite a replicação sem restrições.

Propomos que o tamanho da empresa e as características do gestor podem compensar a ausência de uma estratégia para orientar o uso do BSC.

Aconselhamos uma correspondência entre o estágio de desenvolvimento da estratégia para as PMEs e o género do gestor, o que pode ter implicações para efeitos de recrutamento.

The advantages of applying big data analytics for organizations to boost innovation performance are enormous. By collecting and analysing substantial amounts of data, firms can discern what works for their customer needs and update existing products while innovating new ones. Notwithstanding the evidence about the effects of big data analytics, the link between big data analytics and innovation performance is still underestimated. Especially in today's fast-changing and complicated environments, companies cannot simply take big data analytics as one innovative technical tool without fully understanding how to deploy it effectively.

This study tries to investigate this relationship by building on the knowledge absorptive capacity perspective. The authors conceptualized effective use of big data analytics tools as one general absorptive capacity rather than a simple technical element or skill. Specifically, effectively utilize big data analytics tools can provide values and insights for new product innovation performance in a turbulent environment. Using online survey data from 108 managers, the authors assessed their hypotheses by applying the structural equation modelling method.

The authors found that big data analytics capacity, which can be conceptualized as one absorptive capacity, can positively influence product innovation performance. The authors also found that environmental turbulence has strong moderation effects on these two main relationships.

These results establish big data analytics can be regarded as one absorptive capacity, which can positively boost an organization's innovation performance.

The role of the fairy godmother is a traditional archetype in the fairy tale genre, providing guidance and utilising transformative magic to enable the young heroes of the tales to find their happy endings. Shows such as Queer Eye feature LGBT+ people performing quasi-magical makeovers to reveal participants' ‘true selves’ and Pose and RuPaul's Drag Race have raised awareness of drag mothers and other forms of queer mentorship and support. As a result, the role of the fairy godmother is now opening up to include men and non-binary people.

One notable example is Billy Porter's ‘Fabulous Godmother’ in Cinderella (2021) who floats onto the scene, where the script, costuming, and performance underline his presentation as an openly queer character, taking Cinderella under his wing and providing her with the ballgown, chariot, and encouragement to attend the prince's ball. However, the fairy godmother is not simply gender-neutral. She remains a distinctly effeminate figure. Therefore, it remains to be seen whether this figure will eventually open up new forms of masculinity, reify existing images of queer femininity, or whether this diversity is simply a short-lived deviation from the existing trope.

Asia is one of the most important economic regions of the world. The Kra Canal is considered as a potential maritime transportation node in global trade. Indeed, for centuries, a canal across the Kra isthmus in Thailand has been proposed as holding significant economic and logistical benefits through goods transfer and exchange, yet it remains unconstructed. Common tools in feasibility studies are PESTELE and SWOT analyses, which incorporate cost-benefit and value analyses. The purpose of this paper is to assess the feasibility of the Kra Canal using approaches to complement existing studies.

In this paper, we combine quantitative and qualitative methodologies to holistically assess the feasibility of the Kra Canal. Quantitatively, we consider the economic feasibility of the canal using Net Present Value to evaluate its potential financial benefits. Qualitatively, we then present expert perspectives gathered from in-depth interviews with field experts (n = 20) to identify key aspects of complexity related to the economic, political and overall feasibility of the canal.

We discuss the possibility of the canal’s construction and describe possible future impacts the canal could have on the region geopolitically, for example, in its role in China’s One Belt One Road initiative and also in how Singapore and Tanjung Pelapas in Malaysia might react. Ultimately, we find significant complexities with the Kra Canal project, ones which anyone contemplating its construction would, we argue, be wise to consider.

This paper combined qualitative and quantitative methods to explore the economic, political and overall feasibility of the Kra Canal. The methodologies and findings supplement past relevant studies and help evaluate the economic, political and overall feasibility of the Kra Canal’s investment project. This is particularly timely considering its potential ability as a route given recent geopolitical events and, for example, as part of China’s Belt and Road initiative and its ability to reduce carbon and sulphur emissions.

Algorithmic trading has evolved beyond traditional methods by incorporating machine learning techniques to analyse extensive datasets. The integration of machine learning and ATS has helped in enhancing the decision-making process, leading to more accurate predictions of market trends, risk assessments, and optimal execution strategies. The opaque nature of artificial trading models can create challenges in understanding the decision-making process of these systems. This lack of clear understanding raises questions about accountability, and market participants lack transparency on whether movements are economic-driven or algorithmic trading strategies. The chapter explores the development of I-driven trading and Key Characteristics of Algorithmic Trading Systems. In conclusion, the integration of machine learning into capital markets represents a major shift in how investment decisions are made, risks are managed, and how markets operate independent artificial intelligence trading systems. Its increasing use highlights the need for careful ethical consideration, regulatory flexibility and ongoing monitoring.

The purpose of this study is to investigate the effects of sport scandals on consumer perceptions of the associated sponsors and sport and to provide a typology of sport celebrity scandals to guide management response tactics.

The study conducted four focus groups that were followed by social media data mining. A total of 8,289 consumer comments were collected from 147 websites, and a total of 224 comments were analyzed in terms of themes and frequency.

The research found the impact of sport scandals on consumer perceptions of sponsorship evaluations depended on whether the scandal was gender related scandal, recreational drug use, gender violence, unplanned and planned on-field scandals. Gender violence and planned on-field scandals can have an overwhelmingly negative impact on sponsorship evaluations, while unplanned on-field scandals may result in positive effects. Consumer empathy may influence the impact of recreational drug use, and the gender of the sport celebrity can influence the impact of unplanned on-field scandals.

This study contributes to sponsorship theory by indicating the type of scandal affects consumer perceptions of associated sponsors and sport.

The findings may guide management to develop response tactics to sport scandals. The response tactics may be based on consumer perceptions of the impact of the scandal on the associated sponsors and sport. Sponsor and sport management response tactics may be perceived as a differentiation of the sponsor and sport brands. It may be necessary that sponsorship agreements included pre-determined response tactics that contribute to value formation in the local community.

This study contributes to sponsorship theory by indicating the type of scandal affects consumer perceptions of sponsorship evaluations. Two additional factors may impact these influences: consumer empathy and the gender of the sport celebrity.

This study aims to uncover the constraints of automation and the affordances of augmentation related to implementing artificial intelligence (AI)-powered systems across different task types: mechanical, thinking and feeling.

Qualitative study involving 45 interviews with various stakeholders in artistic gymnastics, for which AI-powered systems for the judging process are currently developed and tested. Stakeholders include judges, gymnasts, coaches and a technology vendor.

We identify perceived constraints of automation, such as too much mechanization, preciseness and inability of the system to evaluate artistry or to provide human interaction. Moreover, we find that the complexity and impreciseness of the rules prevent automation. In addition, we identify affordances of augmentation such as speedier, fault-less, more accurate and objective evaluation. Moreover, augmentation affords to provide an explanation, which in turn may decrease the number of decision disputes.

While the unique context of our study is revealing, the generalizability of our specific findings still needs to be established. However, the approach of considering task types is readily applicable in other contexts.

Our research provides useful insights for organizations that consider implementing AI for evaluation in terms of possible constraints, risks and implications of automation for the organizational practices and human agents while suggesting augmented AI-human work as a more beneficial approach in the long term.

Our granular approach provides a novel point of view on AI implementation, as our findings challenge the notion of full automation of mechanical and partial automation of thinking tasks. Therefore, we put forward augmentation as the most viable AI implementation approach. In addition, we developed a rich understanding of the perception of various stakeholders with a similar institutional background, which responds to recent calls in socio-technical research.