The Leader Support for Innovation Questionnaire (LSIQ)

2019 ◽  
Vol 40 (8) ◽  
pp. 898-915
Author(s):  
Sylvie Vincent-Höper ◽  
Maie Stein
Keyword(s):  
Process Model ◽  
Organizational Innovation ◽  
Factor Model ◽  
Idea Generation ◽  
Confirmatory Factor Analyses ◽  
Content Type ◽  
Leader Support ◽  
Support For Innovation ◽  
The Relationship ◽  
Three Factor

Purpose In this study, the authors integrate the concept of leader support with a process model of innovation including the generation, promotion and implementation of innovative ideas to obtain an in-depth understanding of how leaders may support employees’ innovative efforts. The purpose of this paper is to develop an organizing framework and validate a measure for assessing leader support for innovation. Design/methodology/approach The authors validated the Leader Support for Innovation Questionnaire (LSIQ) in German and English using samples from Germany (n=1,049) and South Africa (n=129). Findings Although confirmatory factor analyses supported a three-factor model of the 12-item LSIQ (leader support for idea generation, promotion and implementation), strong intercorrelations between the factors provide only weak evidence for the three-factor structure. Positive correlations with individual and organizational innovation demonstrate adequate construct validity. The LSIQ explains additional variance in innovation beyond that explained by measures of transformational leadership and leader–member exchange. Research limitations/implications The findings suggest that linking leader support and innovation more directly to one another matches the complexity of innovation processes. The LSIQ is a theory based and valid tool that enables more rigorous research on the role of leadership in facilitating innovation. Originality/value Previous studies using well-established leadership approaches have produced a considerable heterogeneity of findings on the relationship between leadership and innovation. Therefore, the authors introduce an integrative framework for defining and organizing leadership behaviors specifically supporting employees’ innovative efforts and validate a measure of leader support for innovation that may guide both theoretical developments and empirical research on the relationship between leadership and innovation in organizations.

On ethnicity of idiosyncratic risk and stock returns puzzle

Humanomics ◽  
2016 ◽  
Vol 32 (1) ◽  
pp. 48-68 ◽  
Author(s):  
Naseem Al Rahahleh ◽  
Iman Adeinat ◽  
Ishaq Bhatti
Keyword(s):  
Stock Returns ◽  
Financial Crises ◽  
Factor Model ◽  
Idiosyncratic Risk ◽  
Idiosyncratic Volatility ◽  
Content Type ◽  
Country Level ◽  
Expected Stock Returns ◽  
The Relationship ◽  
Three Factor

Purpose – The purpose of this paper is to understand the controversial issue of whether stock returns and idiosyncratic risks are related positively or negatively in case of Singaporean ethically poor screened stocks. Design/methodology/approach – To achieve the major objectives of this paper, it uses a multiple regression to explore the relationship between expected stock returns and idiosyncratic risk. The paper replicates the Lee and Faff’s (2009) three-factor capital asset-pricing model (CAPM) model in creating the six size/book-to-market portfolios from which it constructs the small minus big (SMB) and high minus low (HML) portfolios that capture the size and book-to-market equity factors, respectively. Findings – The basic finding of the paper is that there is a strong relation between idiosyncratic risk and the expected stock returns. In more details, we observe that the portfolio of stocks with the highest idiosyncratic volatility generates higher average returns (4.36 per cent) than the portfolio of stocks with the lowest idiosyncratic volatility (0.79 per cent) over the sample period. The paper observes that the stock’s idiosyncratic volatility is inversely correlated with the size of the underlying firm. Moreover, there is a pattern of relationships nearer the periods of financial crises: Asian and global financial crises. Research limitations/implications – This paper uses only a three-factor model on a single country. So it cannot be generalized to a multi-country level in the Association of Southeast Asian Nations (ASEAN) region, as the structure of each member country is different. Practical implications – This paper provides guidelines for policymakers and foreign investors in Singapore about the relationship. This research can also be extended to other ASEAN countries to understand this puzzle. Social implications – Ethically sensitive and faithful investors with small investment can benefit from the findings of this paper. Originality/value – The work reported in this paper is original, unpublished and is also not under consideration for publication elsewhere.

Evaluating a job search strategy model of fit perceptions: a construct validation amongst unemployed job seekers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emmanuel Affum-Osei ◽  
Henry Kofi Mensah ◽  
Eric Adom Asante ◽  
Solomon Kwarteng Forkuoh
Keyword(s):  
Factor Analysis ◽  
Job Search ◽  
Search Strategy ◽  
Factor Model ◽  
Search Strategies ◽  
Job Seekers ◽  
Confirmatory Factor Analyses ◽  
Content Type ◽  
Confirmatory Factor ◽  
Three Factor

PurposeThe purpose of this study is to examine the (1) psychometric properties of Crossley and Highhouse's job search strategy scale and (2) the predictive utility of the scale on fit perceptions.Design/methodology/approachData were collected from unemployed job seekers in Ghana (nT1 = 720; nT2 = 418). Exploratory and confirmatory factor analyses were conducted to examine the data.FindingsExploratory factor analysis on the first random sub-sample (n = 362) supported a three-factor model. Confirmatory factor analysis on the second random sub-sample (n = 358) confirmed the three-factor structure and was invariant across job search contexts and genders. Moreover, structural path results showed that the use of focussed and exploratory job search strategies facilitated positive fit perceptions and the use of haphazard job search resulted in poor job fit perceptions.Originality/valueThis study is the first to examine the dimensionality of job search strategies based on different job search context by linking it to fit perceptions. Moreover, the authors provide evidence that the job search strategy scale has a valid psychometric property and a promising instrument to assess job search behaviour across job search contexts and genders in an understudied population.

Fewer reasons to sin: a five-factor investigation of vice stock returns

2017 ◽  
Vol 43 (9) ◽  
pp. 1016-1033 ◽  
Author(s):  
Greg Richey
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Five Factor Model ◽  
Capital Asset Pricing ◽  
National Defense ◽  
Content Type ◽  
Explanatory Variables ◽  
Asset Pricing Model ◽  
The Relationship ◽  
Three Factor

Purpose The purpose of this paper is to investigate the return performance of a portfolio of US “vice stocks,” firms that manufacture and sell products such as alcohol, tobacco, gaming services, national defense and firearms, adult entertainment, and payday lenders. Design/methodology/approach Using daily return data from a portfolio of vice stocks over the period 1987-2016, the author computes the Jensen’s α (capital asset pricing model (CAPM)), Fama-French Three-Factor, Carhart Four-Factor, and Fama-French Five-Factor results for the complete portfolio, and each vice industry individually. Findings The results from the CAPM, Fama-French Three-Factor Model, and the Carhart Four-Factor Model show a positive and significant α for the vice portfolio throughout the sample period. However, the α’s significance disappears with the addition of the explanatory variables from the Fama-French Five-Factor Model. Originality/value The author provides academics and practitioners with results from a new model. As of this writing, the author is unaware of any articles published in peer-reviewed academic journals that investigate vice stocks within the framework of the Fama-French Five-Factor Model (2015). First, the existing literature does not shed light on the relationship between “profitability” and “aggressiveness” (the fourth and fifth factors of the Fama-French Model) and vice stock returns. Second, within the framework of the Fama-French Five-Factor Model, the author shows results not only from a portfolio of vice stocks, but from various vice industries as well.

Information risk, stock returns, and asset pricing: Evidence from China

2017 ◽  
Vol 30 (4) ◽  
pp. 379-394 ◽  
Author(s):  
Raheel Safdar ◽  
Chen Yan
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Empirical Literature ◽  
Firm Level ◽  
Cross Sectional ◽  
Market Pricing ◽  
Content Type ◽  
Information Risk ◽  
Accruals Quality ◽  
Three Factor

Purpose This study aims to investigate information risk in relation to stock returns of a firm and whether information risk is priced in China. Design/methodology/approach The authors used accruals quality (AQ) as their measure of information risk and performed Fama-Macbeth regressions to investigate association of AQ with future realized stock returns. Moreover, two-stage cross-sectional regression analysis was performed, both at firm level and at portfolio level, to test if the AQ factor is priced in China in addition to existing factors in the Fama French three-factor model. Findings The authors found poor AQ being associated with higher future realized stock returns. Moreover, they found evidence of market pricing of AQ in addition to existing factors in the Fama French three-factor model. Further, subsample analysis revealed that investors value AQ more in non-state owned enterprises than in state owned enterprises. Research limitations/implications The study sample comprises A-shares only and the generalization of the findings is limited by the peculiar institutional and economic setup in China. Originality/value This study contributes to market-based accounting literature by providing further insight into how and if investors value information risk, and it seeks to fill gap in empirical literature by providing evidence from the Chinese capital market.

Dimensionality of the Maslach Burnout Inventory in School Teachers

2005 ◽  
Vol 21 (1) ◽  
pp. 67-76 ◽  
Author(s):  
Anton Aluja ◽  
Angel Blanch ◽  
Luis F. García
Keyword(s):  
English Language ◽  
Factor Model ◽  
Estimation Method ◽  
Maslach Burnout Inventory ◽  
Estimation Methods ◽  
School Teachers ◽  
Confirmatory Factor Analyses ◽  
Ml Estimation ◽  
Asymptotically Distribution Free ◽  
Three Factor

Abstract. The Maslach Burnout Inventory (MBI) is an instrument which has been used worldwide to assess occupational stress in human service professions. While the MBI has been used in school settings, an inventory specifically oriented to measure burnout in teachers was developed (MBI-Form Ed; Schwab, in Maslach & Jackson, 1986 ). A Catalan version of the MBI-Form Ed was administered to 631 elementary school teachers. Several models, including those posited by some studies using the English language MBI-Form Ed, were analyzed in order to test their cross-cultural validity. Confirmatory factor analyses (CFAs) were used to fit all models by maximum likelihood (ML) and asymptotically distribution-free (ADF) estimation methods to test the hypothesis that incorrect use of the ML estimation method could be the reason for model misfit in previous studies. Results show that there are no differences due to the estimation method and support the three-factor structure. Furthermore, a shortened three-factor model of 17 items shows a better fit and similar reliability, and its use seems plausible in the research and psychological evaluation of teachers' burnout in both English and Catalan language settings.

Interactive effects of leader justice and support for safety on safety performance

2014 ◽  
Vol 1 (3) ◽  
pp. 296-315 ◽  
Author(s):  
Benjamin R. Kaufman and ◽  
Konstantin P. Cigularov ◽  
Peter Chen ◽  
Krista Hoffmeister ◽  
Alyssa M. Gibbons ◽  
...  
Keyword(s):  
Organizational Justice ◽  
Safety Performance ◽  
Interactive Effects ◽  
Safety Practices ◽  
Content Type ◽  
Fair Treatment ◽  
Leader Support ◽  
Safety Interventions ◽  
The Relationship ◽  
Practical Implications

Purpose – The purpose of this paper is to examine the main and interactive effects of general and safety-specific leader justice (SSLJ) (i.e. fair treatment) and leader support for safety (LSS) on safety performance. Design/methodology/approach – Two independent samples of construction workers rate their leaders with regards to fair treatment and support for safety and report their own safety performance in a survey. Findings – In both studies, LSS significantly moderated relationships of both general and SSLJ with safety performance. In Study 1, the strength of relationship between general leader justice and safety performance increases while LSS is increased. Similar pattern was found for the relationship between SSLJ and safety performance in Study 2. Practical implications – Safety interventions targeting leadership should consider training for leader safety practices that are perceived as supportive and fair. Originality/value – The research is unique in its examination of leader justice in a safety-specific context and its interactive effects with LSS on safety performance. The present research helps to extend the reach of organizational justice theory's nomological network to include safety.

Beyond new roads and bridges

2018 ◽  
Vol 30 (2) ◽  
pp. 175-190
Author(s):  
Lenahan O’Connell ◽  
Juita-Elena (Wie) Yusuf ◽  
Khairul Azfi Anuar
Keyword(s):  
Factor Model ◽  
Public Support ◽  
Mass Transit ◽  
Light Rail ◽  
Urban Context ◽  
Public Preferences ◽  
Content Type ◽  
Hampton Roads ◽  
Infrastructure Investments ◽  
Three Factor

Purpose The purpose of this paper is to compare public preferences for investment and spending on non-automobile infrastructures (mass transit and bicycling) to preferences for new roads and the repair of current highways. The study explores the factors that explain preferences for non-automobile infrastructure using a three-factor model including self-interest (personal transportation benefits), concern for community-wide benefits (political beliefs), and concern for the economic impact. The study uses a case study of the urban context of the Hampton Roads region of Southeastern Virginia (USA). Design/methodology/approach The analysis uses data from a 2013 telephone survey of urban residents in the Hampton Roads area. Survey respondents were asked to identify their two investment priorities from four options: repairing existing roads, bridges, and tunnels; constructing new or expanding roads, bridges, and tunnels; expanding mass transit; and expanding bicycle routes and improving bike safety. Findings Repairing existing highway infrastructure is the most popular spending priority (66 percent of residents). There is as much support (46 percent) for investing in non-automobile infrastructure as for investing in new roads, bridges, and tunnels. Significant predictors of support for non-automobile infrastructure, using the three-factor model, are: length of commute time, self-identification as liberal, use of light rail, and a belief that light rail contributes to economic development. Originality/value The study examines public preferences for both non-traditional and traditional transportation infrastructure investments. It highlights the factors that contribute to public support for different transportation spending options.

Privacy helplessness on social media: its constituents, antecedents and consequences

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hichang Cho
Keyword(s):  
Theoretical Model ◽  
Structural Equation ◽  
Factor Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Confirmatory Factor Analyses ◽  
Content Type ◽  
Internet Users ◽  
The Usa ◽  
Antecedents And Consequences

PurposeMany internet users exhibit signs of privacy helplessness and entirely give up online privacy management. However, we know little about what privacy helplessness is, when users are likely to experience it and its implications for privacy behavior. The objectives of this study were twofold: (a) the conceptual explication of privacy helplessness as a novel construct in privacy research and (b) the development of a theoretical model that specifies the antecedents and consequences of privacy helplessness.Design/methodology/approachA research model of privacy helplessness that contains three subcomponents of privacy helplessness, five antecedents and one outcome was developed. The model was empirically examined based on survey data collected from 589 Facebook users in the USA.FindingsThe results of exploratory and confirmatory factor analyses showed that privacy helplessness is adequately assessed by a three-factor model with affective, cognitive and motivational components. The results of structural equation modeling indicated that these three aspects of privacy helplessness are uniquely predicted by five theoretical factors: (a) prior experience of privacy risks, (b) personal mastery, (c) perceived costs of adaptive privacy actions, (d) perceived rewards of privacy inactions and (e) perceived vulnerability. Furthermore, it was found that helplessness as motivational deficits (and cognitive helplessness via this) impedes adaptive privacy actions, while cognitive helplessness promotes adaptive privacy actions when they do not result in motivational deficits.Originality/valueThis study pioneers investigation in understanding key constituents, attributes and processes underlying privacy helplessness. First, the present study developed the first theory-derived, successively validated measurement model of privacy helplessness. Second, this research proposed a theoretical model of privacy helplessness, specifying antecedents and consequences of privacy helplessness.

Knowledge heterogeneity, social capital, and organizational innovation

2018 ◽  
Vol 31 (2) ◽  
pp. 304-322 ◽  
Author(s):  
Fu-Sheng Tsai
Keyword(s):  
Social Capital ◽  
Design Methodology ◽  
Qualitative Data ◽  
Organizational Innovation ◽  
Three Dimensions ◽  
Shared Knowledge ◽  
Content Type ◽  
Quantitative Studies ◽  
The Relationship ◽  
Heterogeneous Knowledge

Purpose Observing across four comparative case organizations, the purpose of this paper is to identify two sources of contingency (i.e. construct and contextual contingency) for the relationship between knowledge heterogeneity and innovation. Design/methodology/approach The contingencies was explored by conducting a comparative case analyses with rich qualitative data extracted and interpreted from four case companies. Findings First, the construct contingency is examined by refining knowledge heterogeneity into three dimensions: domain, process, and context heterogeneity. Specifically, the author proposed that knowledge heterogeneity in domain is associated with innovation in an inverted U-shape, while heterogeneity in process and context dimensions both negatively influence innovation. Second, contextual contingency is studied. The author proposed that: trust positively moderates the relationship between knowledge heterogeneity and innovation; depending on the knowledge owner attributes, centralization positively or negatively moderates the relationship between heterogeneous knowledge and innovation; shared knowledge vision positively moderates the relationship between knowledge heterogeneity and innovation. Originality/value The influences of knowledge heterogeneity on innovation have yet been inconsistent. The present study set to reconcile such inconsistency with a solution of contingencies that intervene the heterogeneity-innovation relationship. These results offer useful references for future large-scaled, quantitative studies.

Applying the Fama and French three-factor model to analyze risk/reward in the Spanish REITs: an ARDL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhenyu Su ◽  
Paloma Taltavull
Keyword(s):  
Growth Rate ◽  
Factor Model ◽  
Explanatory Power ◽  
Gdp Growth ◽  
Size Factor ◽  
Content Type ◽  
Gdp Growth Rate ◽  
Fama And French ◽  
Three Factor

Purpose This paper aims to analyse the risk and excess returns of the Spanish real estate investment trusts (S-REITs) using various methods, though focusing primarily on the Fama-French three-factor (FF3) model, over the period from 2007Q3 to 2017Q2. Design/methodology/approach The autoregressive distributed lag model is used for the empirical analysis to test long-term stable relationships between variables. Findings The findings indicate that the FF3 model is suitable for the S-REITs market, better explaining the S-REITs’ returns variation than the traditional single-index capital asset pricing model (CAPM) and the Carhart four-factor model. The empirical evidence is reasonably consistent with the FF3 model; the values for the market, size and value are highly statistically significant over the analysis period, with 68.7% variation in S-REITs’ returns explained by the model. In the long run, the market factor has less explanatory power than the size and value factors; the positive long-term multiplier of the size factor indicates that small S-REIT companies have higher returns, along with higher risk, while the negative multiplier of the value indicator suggests that S-REITs portfolios prefer to allocate growth REITs with low book-to-market ratios. The empirical findings from a modified FF3 model, which additionally incorporates Spain’s gross domestic product (GDP) growth rate, two consumer price index (CPI) macro-factors and three dummy variables, indicates that GDP growth rate and CPI also affect S-REITs’ yields, while investment funds with capital calls have a small influence on S-REITs’ returns. Practical implications The regression results of the standard and extended FF3 model can help researchers understand S-REITs’ risk and return through a general stock pattern. Potential investors are given more information to consider the new Spanish investment vehicle before making a decision. Originality/value The paper uses standard techniques but applies them for the first time to the S-REIT market.

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