Search results

For ranking aggregation in crowdsourcing task, the key issue is how to select the optimal working group with a given number of workers to optimize the performance of their aggregation. Performance prediction for ranking aggregation can solve this issue effectively. However, the performance prediction effect for ranking aggregation varies greatly due to the different influencing factors selected. Although questions on why and how data fusion methods perform well have been thoroughly discussed in the past, there is a lack of insight about how to select influencing factors to predict the performance and how much can be improved of.

In this paper, performance prediction of multivariable linear regression based on the optimal influencing factors for ranking aggregation in crowdsourcing task is studied. An influencing factor optimization selection method based on stepwise regression (IFOS-SR) is proposed to screen the optimal influencing factors. A working group selection model based on the optimal influencing factors is built to select the optimal working group with a given number of workers.

The proposed approach can identify the optimal influencing factors of ranking aggregation, predict the aggregation performance more accurately than the state-of-the-art methods and select the optimal working group with a given number of workers.

To find out under which condition data fusion method may lead to performance improvement for ranking aggregation in crowdsourcing task, the optimal influencing factors are identified by the IFOS-SR method. This paper presents an analysis of the behavior of the linear combination method and the CombSUM method based on the optimal influencing factors, and optimizes the task assignment with a given number of workers by the optimal working group selection method.

Develop a comprehensive framework for assessing the knowledge organization systems (KOSs), including the taxonomy of Wikipedia and the ontologies of Wikidata, with a specific focus on enhancing management and retrieval with a gender nonbinary perspective.

This study employs heuristic and inspection methods to assess Wikipedia’s KOS, ensuring compliance with international standards. It evaluates the efficiency of retrieving non-masculine gender-related articles using the Catalan Wikipedian category scheme, identifying limitations. Additionally, a novel assessment of Wikidata ontologies examines their structure and coverage of gender-related properties, comparing them to Wikipedia’s taxonomy for advantages and enhancements.

This study evaluates Wikipedia’s taxonomy and Wikidata’s ontologies, establishing evaluation criteria for gender-based categorization and exploring their structural effectiveness. The evaluation process suggests that Wikidata ontologies may offer a viable solution to address Wikipedia’s categorization challenges.

The assessment of Wikipedia categories (taxonomy) based on KOS standards leads to the conclusion that there is ample room for improvement, not only in matters concerning gender identity but also in the overall KOS to enhance search and retrieval for users. These findings bear relevance for the design of tools to support information retrieval on knowledge-rich websites, as they assist users in exploring topics and concepts.

Unicorn companies, such as Facebook, Uber, and Airbnb, significantly impact our economies. This happens although they had a dramatic initial start – at least in terms of financial performance – that would have let any other “conventional” business close. In other words, Unicorns challenge the start-ups’ problems traditionally associated with early failure (liability of newness). This paper aims to understand what helps Unicorn firms initially survive despite huge losses.

By adopting a behavioral lens, this historical case study article focuses on key strategic decisions regarding the famous social media Unicorn Snapchat from 2011 to 2022. The case combines secondary data and a thematic analysis of Snapchat founders’ and investors’ interviews/comments to identify the behavioral antecedents leading to Snapchat’s honeymoon.

Snapchat network effect triggered cognitive biases of Snapchat founders’ and investors’ decisions, leading them to provide initial assets (i.e. beliefs/goodwill, trust, financial resources and psychological commitment) to the nascent Unicorn. Therefore, the network effect and biases resulted in significant antecedents for Snapchat’s honeymoon.

The authors propose a general, theoretical framework advancing the possible impact of biases on Unicorns’ initial survival. The authors argue that some biases of the Unicorns’ founders and investors can positively support a honeymoon period for these new ventures. This is one of the first case studies drawing on a behavioral approach in general and on biases in particular to investigate the liability of newness in the Unicorns’ context.

Team leaders play a vital role in achieving superior team performance. However, their role in implementing the organizational customer orientation strategy is not well understood. Drawing on social exchange theory, this study investigates how team leader customer orientation affects team customer orientation climate and team performance (i.e. customer satisfaction) as well as the moderating role of transformational leadership in such effect.

This study builds on survey data collected from matched team leaders, employees and customers nested in 81 service teams and employs hierarchical multiple regression analysis to test the hypotheses.

The findings indicate that team leader customer orientation increases team customer orientation climate, which leads to a higher level of customer satisfaction. Leaders' transformational leadership moderates the link between a leader customer orientation and team customer orientation climate in an unexpected way. When a team leader is transformational, the team customer orientation climate is enhanced, regardless of the level of team leader customer orientation. When a team leader's transformational leadership is low, the higher leader customer orientation is and the higher team customer orientation climate is.

This study contributes to the customer orientation, transformational leadership and service literature by unraveling team leaders' roles in boosting team customer orientation climate and team effectiveness.

Drawing upon a dynamic managerial capabilities perspective, this study aims to unpack how and when chief experience officer (CEO) transformational leadership influences firm innovation. Specifically, a moderated mediation model linking CEO transformational leadership to firm innovation, which includes strategic flexibility as a mediator and top management team (TMT) knowledge diversity as a moderator, is theorized and empirically tested.

The authors conducted a survey of 354 TMT members and 62 CEOs from 62 firms in China’s construction industry to explore these relationships. Path analysis using Mplus 7.4 was undertaken to test our proposed moderated mediation model.

The results revealed that strategic flexibility mediates the positive relationship between CEO transformational leadership and firm innovation. Additionally, TMT knowledge diversity positively moderates the relationship between CEO transformational leadership and strategic flexibility.

Taken together, these findings help advance and deepen our understanding of the mechanisms through which CEO transformational leadership influences firm innovation and boundary conditions under which CEO transformational leadership influences strategic flexibility. At the same time, this study also contributes to the literature on strategic flexibility and the CEO-TMT interface by revealing the interactive effect of CEO transformational leadership and TMT knowledge diversity on strategic flexibility.

Although the positive influence of CEO transformational leadership on firm innovation has been widely recognized, the specific mechanisms underlying this effect have yet to be fully theorized. This study proposes and tests a nuanced theoretical framework linking CEO transformational leadership to firm innovation via a firm’s strategic flexibility. It also argues that TMT knowledge diversity enhances the indirect effect of CEO transformational leadership on firm innovation through strategic flexibility; that is, this indirect effect is significant when TMT diversity is high, but not when TMT diversity is low.

Container shipping is a crucial component of the global supply chain that is affected by a large range of operational risks with high uncertainty, threatening the stability of service, manufacture, distribution and profitability of involved parties. However, quantitative risk analysis (QRA) of container shipping operational risk (CSOR) is being obstructed by the lack of a well-established theoretical structure to guide deeper research efforts. This paper proposes a methodological framework to strengthen the quality and reliability of CSOR analysis (CSORA).

Focusing on addressing uncertainties, the framework establishes a solid, overarching and updated basis for quantitative CSORA. The framework consists of clearly defined elements and processes, including knowledge establishing, information gathering, aggregating multiple sources of data (social/deliberative and mathematical/statistical), calculating risk and uncertainty level and presenting and interpreting quantified results. The framework is applied in a case study of three container shipping companies in Vietnam.

Various methodological contributions were rendered regarding CSOR characteristics, settings of analysis models, handling of uncertainties and result interpretation. The empirical study also generated valuable managerial implications regarding CSOR management policies.

This paper fills the gap of an updated framework for CSORA considering the recent advancements of container shipping operations and risk management. The framework can be used by both practitioners as a tool for CSORA and scholars as a test bench to facilitate the comparison and development of QRA models.

New product development (NPD) projects are strategically important for firms’ operations but suffer from high failure rates. Leadership is a key factor for project success. However, in contrast to positive project leadership, project managers’ knowledge hiding has received little attention. Drawing on the input-mediator-output (IMO) framework and model of work team resilience, we explored the effect of project managers’ destructive knowledge hiding (i.e. evasive hiding and playing dumb) on project team performance (i.e. efficiency and effectiveness) and the serial indirect effect through team psychological safety and transactive memory systems.

We conducted a time-lagged multiple-sourcing investigation of Chinese high-tech firms and tested the hypotheses using data collected from 105 NPD project teams.

Our findings demonstrated that project managers’ knowledge hiding negatively affects NPD project team performance and indirectly negatively affects transactive memory systems through team psychological safety. Moreover, project managers’ knowledge hiding exerts a negative indirect effect on team performance through team psychological safety and transactive memory systems in serial.

This study contributes to the literature on operations management (OM) by broadening our understanding of the connection between project managers' destructive knowledge hiding and the failure of NPD projects. In providing such insight, it also offers practical guidance for overcoming team-level obstacles arising from project managers' knowledge hiding.

The experience of rising trade imbalance between Nigeria and its key trading partners in recent years motivated this study. Previous studies on this issue either ignored bilateral level or assumed that the effect of crude oil price and/or exchange rate changes on trade balance is symmetric. Consequently, this study investigates whether Nigeria's bilateral trade balance with Belgium, China, United Kingdom (UK) and USA is responding symmetrically or asymmetrically to changes in oil price and exchange rate.

The authors used nonlinear autoregressive-distributed lag (NARDL) model that decomposed oil price and exchange rate into partial sum processes of positive and negative changes over the period 1999Q1–2019Q4.

The study finds that the effects of oil price hike and plunge asymmetrically influence Nigeria's trade balance with the UK and USA. Further evidence indicated that oil price plunge exerts greater influence than price hike in all the cases, except the UK in the long run. Furthermore, Nigeria's trade balance responds asymmetrically and significantly to changes in exchange rate with China in the long run and with China and the UK in the short run. Specifically, the depreciation effect is more prominent than appreciation.

Significant contributions to the existing literature in Nigeria include the recognition that the effects of oil price and exchange rate changes on trade are asymmetric and the disaggregation of trade into bilateral level to identify country-specific effect.

The study aims to explore the effectiveness of performance-oriented practices like high-performance work practices (HPWPs) in higher education (HE), given its explicit focus on performance these days.

The study uses hierarchical linear modeling using statistical package for social sciences (SPSS 22.0) to test the hypotheses. An intertwined framework of the ability–motivation–opportunity (AMO) model and the job demand-resources (JD-R) model was proposed. The study considered strategic hiring, recognition and participatory decision-making as ability, motivation and opportunity-enhancing practices respectively. Further, the study addressed the impact of institutional level moderators, like administrative workload (AWL) and support staff (SS).

The findings based on the responses of 385 faculties and 443 students from 36 Indian institutes, indicated that HPWPs enhanced the education performance (EP) of HE institutes. Further, results revealed that both AWL and SS had differential effects on the relationship between HPWPs and EP. Contrary to authors’ expectations, SS showed a negative effect of the relationship between HPWPs and EP.

The increased AWL was debilitating the beneficial effects HPWPs. The negative interaction effect of SS sheds light on the hidden issues surrounding SS in HE institutes. Based on findings, the study offered important theoretical and practical implications.

To the best of authors’ knowledge, the impact of innovative human resource (HR) practices in academia remains relatively under-researched, and the current study is an attempt to fill this void.

Irrespective of the importance of collective job crafting for team performance, its antecedents have not been fully comprehended. Drawing upon social cognitive theory, this study proposes that sales managers’ charismatic leadership interacts with collective proactive personality in predicting collective job crafting, which in turn influences sales teams’ customer relationship performance and financial performance.

Data were collected from 481 sales employees and 64 sales managers from 64 sales departments of tour companies. These multi-source data were analyzed through structural equation modeling.

The findings revealed that charismatic leadership was positively associated with sales teams’ collective job crafting, which was in turn positively related to sales teams’ customer relationship performance and financial performance. Collective proactive personality negatively moderated the impact of charismatic leadership on collective job crafting.

This study advances the extant knowledge by identifying the role of collective job crafting in translating charismatic leadership into sales teams’ performance.