bluuebunny/crossref_metadata_2025_split huggingface dataset:
Easy does it: an innovative view on developing career identity and self-direction
Authors: Luken Tom 
Published: December 2019

Purpose
A generally held belief in the field of career development is that career attitudes and abilities, including identity and self-direction, can and should be developed in school programmes with a cognitive focus. The purpose of this paper is twofold: first, to question this belief, and second, to provide a new perspective on career development that may inspire innovations for career science, and guidance during the lifespan.

Design/methodology/approach
Specific questions are formulated and answered on the basis of sources mainly stemming from neurosciences and different sub-disciplines of psychology. On the basis of a systems theory, a new approach is proposed.

Findings
Current approaches in career guidance are at odds with findings and insights from developmental sciences and brain research. Several risks of current approaches are described. One risk is identity foreclosure. Another risk involves the development of ineffective ways of thinking and decision making. A control theory that stems from cybernetics is proposed to offer an alternative view on career development.

Research limitations/implications
One implication for research is that long-term longitudinal approaches are required to fully clarify the development of self-direction and identity. Furthermore, the building and testing of models of career development based on dynamic systems theories is recommended.

Practical implications
The main implication for career practices and policies is that self-direction and identity are no realistic aims for most students. Instead, it is recommended to relieve the pressure associated with career choices for young people, and to give more time, room, stimulation and guidance for exploration and reconsideration, for adults as well. Guidance should consist of offering sufficiently varied work experiences, and counselling when individuals experience conflicts that impede direction finding. Not too much emphasis should be put on reflection and rational thinking. Acceptance and commitment therapy is recommended as an approach offering many useful insights and instruments that may inspire career professionals.

Originality/value
This paper questions a mainstream approach and offers an original point of view.
The long tail thesis
Authors: Dai Shuanping , Taube Markus 
Published: December 2019

Purpose
This paper aims to explore the functionality of long tail markets (LTM), where the consumers cannot be reached or are ignored by the traditional mainstream businesses, in new products and business development.

Design/methodology/approach
First, the authors review two Chinese entrepreneurial practices in the Fintech sector and low-speed electric vehicles (LSEV) and describe their stylized facts; second, they explore a possible theoretical LTM framework to underscore these practices; third, they make a connection between LTM and existing business models and analyze its significance and practical implications in business, in particular, in developing economies.

Findings
The LTM business approach has helped Chinese companies in the Fintech sector and LSEVs gain global attention. The success factors of LTM for businesses are identifying a specific customer base, being aware of localization products and playing skillfully with regulations; the LTM approach has several overlaps with existing studies on niche products and base of the pyramid market.

Originality/value
Based on some emerging and attractive business practices in China, this paper offers a valuable attempt to theorize them as long tail phenomenon. The LTM thesis provides a potential framework to reference for similar methods elsewhere and may illuminate entrepreneurship to be explored in similar markets.
Initial entry speed and international performance of INVs
Authors: Huang Sheng , Ye Guangyu , Shen Suqin 
Published: December 2019

PurposeIn the literature concerning international new ventures (INVs), there has been a tension between the learning advantages of newness and absorptive capacity perspectives for explaining the performance influence of initial entry speed. To address this tension, this paper, through integrating both the motivation and ability to acquire foreign knowledge, proposes a theoretical model about the nonlinear relationship between INVs’ initial entry speed and international performance. Drawing upon upper echelons theory and the institution-based view, this study aims to extend the literature by developing two boundary conditions for this relationship: the moderating role of executives’ individual learning orientation and sub-national institutions.Design/methodology/approachThe authors used the latent moderated structural equations approach specific to Mplus to test the hypotheses with data on 322 Chinese INVs.FindingsThe findings indicate that INVs’ international performance will increase initially and then decrease, as they accelerate initial entry speed (an inverted U-shaped relationship), and that INVs managed by executives with a higher learning orientation and located in better sub-national institutional environments achieve greater international growth gains from moderate initial entry speed.Originality/valueThis study mainly makes contributions to the INV literature by integrating the motivation and ability to acquire foreign knowledge to offer full understanding of the effect of initial entry speed on international performance, and by elaborating on the moderating effects of executives’ individual learning orientation and sub-national institutions on this relationship.
Exploring the relationship between network position and innovation performance
Authors: Li Min , Xiao Fangbin , Cheng Yang , Xie Bi-Jun , Liu Chen-Yun , Xu Baoni 
Published: December 2019

PurposeThis paper aims to attempt to explore the influence of network position on innovation performance, specifically for companies from a less-developed area in China.Design/methodology/approachThe paper uses a social network analysis method based on the data of high and new tech companies from Jiangxi province, China. It relies on Ucinet 6.212 software for data processing.FindingsThe present work, on the one hand, reveals that a high and new tech company from Jiangxi province tends to achieve better innovation performances if it is in the central position of its social network. On the other hand, it indicates that the same type of company from the same area does not always accomplish better innovation performance, even it possesses more structural holes.Originality/valueThe conclusions of this paper suggest that a high and new tech company from a less-developed area in China should build up its position closer to the center when constructing a social network. Meanwhile, the company should also exert more effort into managing its networks, as only building structural holes offers little help with operations besides showing that it has a broad social network.
A machine-learning based approach to measuring constructs through text analysis
Authors: Tsao Hsiu-Yuan (Jody) , Campbell Colin L. , Sands Sean , Ferraro Carla , Mavrommatis Alexis , Lu Steven (Qiang) 
Published: December 2019

Purpose
This paper aims to develop a novel and generalizable machine-learning based method of measuring established marketing constructs through passive analysis of consumer-generated textual data. The authors term this method scale-directed text analysis.

Design/methodology/approach
The method first develops a dictionary of words related to specific dimensions of a construct that is used to assess textual data from any source for a specific meaning. The method explicitly recognizes both specific words and the strength of their underlying sentiment.

Findings
Results calculated using this new approach are statistically equivalent to responses to traditional marketing scale items. These results demonstrate the validity of the authors’ methodology and show its potential to complement traditional survey approaches to assessing marketing constructs.

Research limitations/implications
The method we outline relies on machine learning and thus requires either large volumes of text or a large number of cases. Results are reliable only at the aggregate level.

Practical implications
The method detail provides a means of less intrusive data collection such as through scraped social media postings. Alternatively, it also provides a means of analyzing data collected through more naturalistic methods such as open-response forms or even spoken language, both likely to increase response rates.

Originality/value
Scale-directed text analysis goes beyond traditional methods of conducting simple sentiment analysis and word frequency or percentage counts. It combines the richness of traditional textual and sentiment analysis with the theoretical structure and analytical rigor provided by traditional marketing scales, all in an automatic process.
Kinematics-searched framework for quadruped traversal in a parallel robot
Authors: Guo Fei , Wang Shoukun , Wang Junzheng , Yu Huan 
Published: December 2019

Purpose
In this research, the authors established a hierarchical motion planner for quadruped locomotion, which enables a parallel wheel-quadruped robot, the “BIT-NAZA” robot, to traverse rough three-dimensional (3-D) terrain.

Design/methodology/approach
Presented is a novel wheel-quadruped mobile robot with parallel driving mechanisms and based on the Stewart six degrees of freedom (6-DOF) platform. The task for traversing rough terrain is decomposed into two prospects: one is the configuration selection in terms of a local foothold cost map, in which the kinematic feasibility of parallel mechanism and terrain features are satisfied in heuristic search planning, and the other one is a whole-body controller to complete smooth and continuous motion transitions.

Findings
A fan-shaped foot search region focuses on footholds with a strong possibility of becoming foot placement, simplifying computation complexity. A receding horizon avoids kinematic deadlock during the search process and improves robot adaptation.

Research limitations/implications
Both simulation and experimental results validated the proposed scenario available and appropriate for quadruped locomotion to traverse challenging 3-D terrains.

Originality/value
This paper analyzes kinematic workspace for a parallel robot with 6-DOF Stewart mechanism on both body and foot. A fan-shaped foot search region enhances computation efficiency. Receding horizon broadens the preview search to decrease the possibility of deadlock minima resulting from terrain variation.
The nexus between financial development and trade performance
Authors: Arora Puneet Kumar , Mukherjee Jaydeep 
Published: December 2019

Purpose
This study aims to empirically examine the relationship between financial development and trade performance for the Indian economy through a time-series analysis with annual data over the period 1980-2016.

Design/methodology/approach
The study uses new econometrics techniques such as unit root tests in the presence of endogenous structural breaks and autoregressive-distributed lag bounds test for the analysis.

Findings
Empirical results reveal that the level of financial development has a significant positive impact on the exports, imports and trade balance of manufactured goods for the Indian economy.

Practical implications
The findings suggest that the positive effect of financial development on trade performance is a potential mechanism through which the former may affect overall income and growth rates. It also implies that standalone trade liberalisation policies are insufficient to increase Indian exports. Indian policymakers should, therefore, consider the implications of the next set of financial sector reforms on the country’s trade flows, besides their positive impact on the economic performance. The findings are particularly relevant in the present scenario when the export growth is decelerating and there is a marked slowdown in private credit flows because of the problem of non-performing assets.

Originality/value
This study is the first of its kind which provides a holistic analysis of the relationship between financial development and trade performance for the Indian economy and also investigates the direction of causality between financial development and international trade by considering the possible presence of multiple endogenous structural breaks in the data. Moreover, in contrast to the available literature, the present study focuses on net exports as a key indicator of trade performance rather than trade openness.
How bank regulations impact efficiency and performance?
Authors: Hassan Mohamad 
Published: December 2019

Purpose
This study aims to examine the impact of regulation and other micro- and macro-economic factors on banks’ productivity growth. It investigates the impact of different regulatory reforms on banks’ performance of total factor productivity (TFP) and its component efficiencies, along with their association with bank-specific variables of profitability and equity, and with macro-level variables of economy and freedom. That is, through analysing the influence of regulatory and supervisory policies related to Basel accords pillars of capital and market discipline through private monitoring; restrictions on bank activities; and economic and financial freedoms on TFP growth and year-end performance in banking.

Design/methodology/approach
The authors examine TFP for commercial banks in response to regulatory reforms on an international scale. To estimate the TFP, the authors use a non-parametric frontier technique by calculating the Malmquist output-oriented index, following Delis et al. (2011) and Worthington (1999). The components of the Malmquist index are ratios of distance functions making its estimation a straightforward technique using activity analysis or data envelopment analysis methods. This allows controlling for efficiency changes depending on the reallocation of production frontiers signalling the technical change and the technical efficiency at once.

Findings
Results show that high capital requirements enhance productivity growth in North and Latin American banks, but not in European African or Asian banks. Supervisory powers drive bank productivity growth in all regions except Europe and Central Asia. Restrictions on real estate, insurance and securities activities impede productivity change in all income level groups but not in high-income economies. The results also show that market volatility and Z-score drive technological change and scale efficiency growth, but negatively impact pure technical efficiency.

Originality/value
This paper contributes to the literature by examining the relationship between the implementation of regulatory standards and the performance of the banking sector following a structural model of the banking firm and the concept of optimisation. An additional contribution of this study is that it examines economies with different levels of income based on the gross national income per capita. The study summarises bank-specific data used to synthesise the banks’ productivity (inputs and outputs) and country-specific economic and regulatory compliance data over 19 years (1999-2017). The extent of this data set coverage makes it most recent and most conclusive of variables to provide a significant contribution to the literature on bank regulation and efficiency effect.
The effects of voluntary GDPR adoption and the readability of privacy statements on customers’ information disclosure intention and trust
Authors: Zhang Yibo , Wang Tawei , Hsu Carol 
Published: December 2019

Purpose
The purpose of this paper is to examine the impacts of companies’ voluntary adoption of the General Data Protection Regulation (GDPR) as well as the readability of privacy statements on US customers’ intention to disclose information and their trust in a company.

Design/methodology/approach
Building on the construal level theory and psychological distance, the authors conduct a 2 × 2 + 2 between-participants experiment with 255 participants.

Findings
The findings show that a company’s voluntary adoption of the GDPR has positive effects on customers’ intention to disclose information to and their trust in that company. In addition, the effects of GDPR adoption are stronger when the adopting company’s privacy statements possess a higher level of readability.

Originality/value
The authors believe this study poses policy implications for the outcomes of GDPR adoption and the recent debate on both a stricter data breach and privacy regulation.
Threshold behavior of optimal safety stock coverage in the presence of extended production disruptions
Authors: Strohhecker Jürgen , Größler Andreas 
Published: December 2019

PurposeThe purpose of this paper is to investigate the effects of extended production disruptions because of process quality breakdowns on operational and financial performance. The investigation is conducted over the market cycle of a highly profitable product, e.g. a patented pharmaceutical. In particular, the study evaluates performance effects of different inventory level policies. The paper considers different degrees of availability of a substitute product.Design/methodology/approachThe study uses simulation experiments based on system dynamics methodology to derive inventory policies on handling infrequently happening but severe production process breakdowns. The simulation model is inspired by empirical case study research and is based on standard modeling formulations from the literature.FindingsThe scenario analyses show that the optimal level of safety stock coverage time depends in a highly non-linear manner on various economic parameters and shows threshold behavior.Research limitations/implicationsIn subsequent studies, the effect of the degree of backlogging and the effect of the repeated occurrence of quality breakdowns on the results can be investigated.Practical implicationsThe critical importance of safety stock and its non-linear relationship to economic product characteristics is emphasized.Originality/valueMotivated by a real-world case study, the paper uses standard model formulations to derive insights for a specific business situation after considering uncertainty in the environment.
A visual tool for identity communication strategy
Authors: Elikan Dina , Pigneur Yves 
Published: December 2019

Purpose
Being able to communicate a clear identity to different stakeholders is crucial for SMEs and startups in today’s world, which is characterised by accelerated innovation, growing competition and increasingly connected consumers. However, this can be a complex task for small organisations. The purpose of this paper is to propose a visual tool that supports entrepreneurs in SMEs and startups to collaboratively develop their identity communication strategy.

Design/methodology/approach
The paper follows a design science research approach. The authors propose the design of a tool as well as some preliminary qualitative evaluations. The authors conducted three iterations between design and evaluation, where the results of the evaluations are implemented in the design.

Findings
The authors demonstrate how to design strategic tools for allowing teams to co-design their identity communication strategy and present the tool. The authors also evaluate its use and find out through the preliminary evaluations that it could be easy to use and useful for practitioners.

Originality/value
The originality of this paper lays in the novelty of the tool and its development. Such a tool addressing identity communication strategy has not been developed with a scientific approach until now.
The conceptual understanding of nutrikinetics
Authors: Riar Harsimran , Khatkar Sunil K. , Khatkar Anju Boora , Arora Nishant , Mann Sandeep , Panghal Anil , Kumar Sanjeev 
Published: December 2019

Purpose
The purpose of the study is to highlights the conceptual and scientific knowledge regarding bioavailability of food bioactive components which is essential for the thorough understanding of their role in disease prevention and factors that limit their absorption.

Design/methodology/approach
Nutrikinetics is an extended version of pharmacokinetics that is used for studying the bioavailability and bioaccessibility of components through different techniques such as metabolic profiling, multi-level data analysis and population-based modeling.

Findings
There are different phases of nutrikinetics study of the bioactive components. The initial stage of nutrikinetics is starting from simplest in-vitro assay which is applicable in the early stage of functional foods development. Thereafter, the next stage of nutrikinetics studies are related to human intervention studies as designed by European Food Safety Authority. The aim of such studies are to develop dose-exposure and exposure response study of a bioactive component.

Originality/value
This paper will enlighten the concept of nutrikinetics, its requirement and the future perspectives of nutrikinetics study including long-term efficacy studies and multi-compartmental analysis of the different bioactive components.
Deer‐mediated ecosystem service versus disservice depends on forest management intensity
Authors: Stokely Thomas D. , Betts Matthew G. 
Published: December 2019

AbstractAs global terrestrial biodiversity declines via land‐use change, society has placed increasing value on non‐commercial species as providers of ecosystem services. Yet, many deer species and non‐crop plants are perceived negatively when they decrease crop productivity, leading to reduced economic gains and human‐wildlife conflict.We hypothesized that deer provide an ecosystem service in forest plantations by controlling competition and promoting crop‐tree growth, although the effects of herbivory may depend on forest management intensity. If management negatively affects foraging habitat at local and landscape scales, then we expected browsing to shift to less nutritious crop trees. To test these hypotheses, we established a 5‐year experiment that manipulated early forest management intensity via herbicide treatments and access of two deer species to vegetation via exclosures.Contrary to our hypothesis, deer provided an ecosystem service at high management intensities and a disservice occurred with low‐intensity management. Crop‐tree growth and survival was greatest when herbivory and herbicides suppressed broadleaf regeneration. In contrast, crop‐tree growth was lowest when broadleaf vegetation was retained and crop trees were subject to both browse damage and competition.We found a positive, yet variable, association between deer detections and stand – and landscape‐scale broadleaf habitat, and despite initial reductions in forage, herbivory pressure was similar among management intensities. When broadleaf vegetation was suppressed by herbicides and herbivory, selection of herbaceous forage by deer intensified, likely aiding in the service. Overall, our findings indicate that the effects of vegetation management for promoting timber production are highly dependent on the presence of large herbivores.Synthesis and applications. Although deer are thought to reduce crop productivity in many systems, we found that herbivory switched from reducing crop‐tree growth where non‐crop vegetation was retained, to promoting crop‐tree growth when both herbivory and herbicides suppressed competing vegetation. However, the provision of this ecosystem service is likely contingent on the amount of forage available in the landscape and subsequent foraging pressure. We conclude that nature's capacity to provide ecosystem services depends on the intensity of management at local and landscape scales.