Christian Janssen, Bo Söderberg and Julie Zhou
Real estate market data often contain outliers in the observations. Since outliers have a large influence on least squares estimates, robust regression methods have been…
Abstract
Real estate market data often contain outliers in the observations. Since outliers have a large influence on least squares estimates, robust regression methods have been recommended for this situation. Compares the performance of least squares and least median of squares, a robust method, in the estimation of price/income relationships for apartment buildings. Multiplicative models with multiplicative errors are estimated by means of natural log transformations. The study confirms the importance of employing robust methods for this application and implies this may well be so for real estate data sets more generally.
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Gunnar Dahlberg, Christian Janssen and Julie Zhou
The aim of this paper is to investigate whether buyers and sellers appears to take distance to the capital business district (CBD) into account in their valuation for acquisition…
Abstract
Purpose
The aim of this paper is to investigate whether buyers and sellers appears to take distance to the capital business district (CBD) into account in their valuation for acquisition or disposition.
Design/methodology/approach
Under a mono‐centric model conceptualization, applicable to the central area of many European cities, location can be represented by distance to the city center. The effect of several distance measures on selling price is investigated for income properties with mixed residential and commercial components – geometric distances, driving distance and time, and time by subway. Exponential and multiplicative models are considered and estimated using a robust estimation method.
Findings
The findings indicate the mono‐centric model to be a useful conceptualization, that buyers and sellers of income properties do take distance into account, and that a number of buildings operate under a suboptimal split between residential and commercial components.
Research limitations/implications
In social science even when a model shows good statistical fit, one will not know if it is correct, but only that it represents observed relationships well. Several models, however, may fit the data. The authors chose ones used by other researchers in similar investigations in past decades. Variable definition and measurement are always issues. In the present case “time by subway” is a mix of walking‐waiting‐riding and minutes in each activity would not be equivalent, involving inter‐personal comparisons of utility. The variable “effective age” based upon the assessment concept of “value year” may not fully capture age‐related effects on price.
Practical implications
The key implications are that the multiplicative model may well be a suitable functional form for these types of analyses and that robust methods are important to prevent outliers in the data from having an undue influence on the estimation.
Originality/value
The authors used robust estimation methods for the price models. The authors defined and studied a sub‐optimality ratio of residential area to commercial area in the mixed use buildings.
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Xuan Bai, Shibin Sheng and Julie Juan Li
This paper aims to examine alliance governance at different hierarchical levels.
Abstract
Purpose
This paper aims to examine alliance governance at different hierarchical levels.
Design/methodology/approach
The data is collected from both top-level and operating-level managers in 286 strategic alliances in China (a total of 572 managers). Hierarchical moderated regression models are adopted to test the hypotheses and two-stage regression analyzes are used to correct for endogeneity.
Findings
This paper finds that relational governance has a greater impact on alliance performance than contract utilization at the top level. Furthermore, the simultaneous use of relational governance at the top and operating levels have a detrimental impact on alliance performance. Finally, top-level contract utilization has a negative interaction with operating-level relational governance but a positive interaction with operating-level contract utilization.
Research limitations/implication
First, the cross-sectional nature of the data collection approach provides only a snapshot of how each type of governance mechanism and its interactions affect alliance performance. Second, the sample is limited to firms located in emerging markets.
Practical implications
Managers should realize that the effectiveness of contract and relational governance mechanisms varies across different management levels and they should be cautious about the cross-level governance mechanism alignment.
Originality/value
This study advances the interfirm governance literature in that this paper examined alliance governance at different hierarchical levels and provides new insights into the ongoing debate on whether the contract and relational governance mechanisms function as complements or substitutes by exploring the governance alignment across different alliance hierarchies.
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This chapter presents a seven-part case developed for use in a graduate-level tax planning class. The case is organized in a taxpayer/business “life-cycle” approach. Over the…
Abstract
This chapter presents a seven-part case developed for use in a graduate-level tax planning class. The case is organized in a taxpayer/business “life-cycle” approach. Over the semester the case follows a married couple as they consider a number of investments, start a business, and expand the business. As the case progresses, the couple faces increasingly complex tax and business issues. The couple eventually winds down their involvement in the business and begins to plan for their retirement years. This chapter also provides a review of behavioral tax research published in the top accounting journals over the period 2004–2013. The chapter concludes with a discussion of how the case could be adapted by behavioral tax researchers in their research programs and perhaps by accounting firms in their training programs.
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Tianyu Hou, Julie Juan Li and Jun Lin
Knowledge search is considered a broad concept and semi-intentional behavior. The path and boundary conditions through which search strategies affect intra-organizational…
Abstract
Purpose
Knowledge search is considered a broad concept and semi-intentional behavior. The path and boundary conditions through which search strategies affect intra-organizational knowledge creation remain elusive. Drawing on recombinant search theory and knowledge-based view, the authors seek to identify knowledge complexity as an important intermediate variable between knowledge search and innovation performance, such as research and development (R&D) output and R&D output quality. A second goal of this study is to examine the moderating roles of government support and technological turbulence.
Design/methodology/approach
The authors employed a longitudinal panel of 609 global pharmaceutical firms and obtained the firms' patent records from 1980 to 2015 for the analysis. The authors used generalized estimating equations (GEE) to evaluate the models and tested the consistency via panel fixed-effects estimations.
Findings
The authors' findings show that organizational routine-guided search has a negative effect on knowledge complexity, while routine-changing search exerts a positive impact on knowledge complexity. Governmental support and technological turbulence moderate these relationships. Notably, knowledge complexity has an inverted U-shaped relationship with innovation performance.
Research limitations/implications
The authors' research context, the pharmaceutical industry, may constrain the generalizability of our findings. In addition, potential types of routine-guided and routine-changing search behaviors were not considered.
Practical implications
Despite these limitations, this study offers important implications. First, knowledge complexity transmits the effects of knowledge search on innovation performance. Practitioners should balance routine-guided and routine-changing search processes to build and manage complex knowledge. Second, a moderate level of knowledge complexity is the key to good R&D output and R&D output quality.
Originality/value
The study identifies knowledge complexity as one important intermediate variable between knowledge search behaviors and intra-organizational knowledge creation.
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The purpose of this paper is to examine the types of justice that affect knowledge acquisition and opportunism in strategic alliances and how these justice mechanisms function.
Abstract
Purpose
The purpose of this paper is to examine the types of justice that affect knowledge acquisition and opportunism in strategic alliances and how these justice mechanisms function.
Design/methodology/approach
Data were collected from both top-level and operating-level boundary spanners in 295 strategic alliances in China (a total of 590 boundary spanners). A structural equation model (SEM) with bias-corrected bootstrap method was used to test the hypotheses.
Findings
The results show that although both procedural justice and distributive justice are important in deterring opportunism, procedural justice is more effective at enhancing knowledge acquisition than distributive justice is. The results also demonstrate that boundary spanners' helping behaviors are more effective at fostering knowledge acquisition, whereas boundary spanners' voice behaviors have more impact on mitigating opportunism. In addition, boundary spanners' citizenship behaviors partially mediate the relationship between justice and interfirm-level performance.
Originality/value
This study adds a boundary-spanning lens to justice literature by uncovering the missing link between justice and alliance outcomes.
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Felipe Zúñiga, Roxana Pincheira, Julie Walker and Michael Turner
The purpose of this study is to examine the effect of integrated reporting (IR) quality on both market liquidity and analyst forecast accuracy in South Africa as the only country…
Abstract
Purpose
The purpose of this study is to examine the effect of integrated reporting (IR) quality on both market liquidity and analyst forecast accuracy in South Africa as the only country in the world having IR as a listing requirement. This study uses the Sustainability Disclosure Transparency Index (SDTI) as a proxy for IR disclosure quality. The analysis of this study is based on the period after the publication of the international framework and its adoption by the International Reporting Committee of South Africa in 2014.
Design/methodology/approach
The companies sampled in this study are those listed on the Johannesburg Stock Exchange (JSE) from 2013 to 2015. The major factor driving the selection of this particular period was to not only analyse the existing IR practice but also investigate IR two years after King III came into force. The SDTI developed by Integrated Reporting and Assurance Services (IRAS) was used to analyse IR quality. Ordinary least squares regressions were analysed. The models include year and industry fixed effects. The variance inflation factor and its tolerance were used to test the severity of multi-collinearity. Also, alternative measures of IR quality and alternate model specifications were analysed to check the robustness of the results.
Findings
The authors find that quality of IR is associated with lower earnings forecast error. The evidence indicates that earnings forecast error is lower for firms in the materials sector of the South African economy. Consistent with prior research, the results also suggest that forecast errors are higher for companies with volatile returns and lower for larger firms. Additional analysis indicates that IR quality is positively associated with market liquidity. Overall, these findings support the virtues of IR, thus providing useful information to capital markets.
Research limitations/implications
The results obtained cannot be generalised to other jurisdictions. While the South African economy is the best setting to investigate IRs, new economies are also working actively on IR disclosures, so future research is likely to extend the literature in this field. Secondly, the availability of data constrained the sample size; however, this only mediates against finding any statistically significant result. While the IRAS database offers information about 324 JSE companies, Datastream covers only the 170 largest South African firms. In spite of the sample reduction, robust and consistent results are found in the market liquidity and analyst forecast accuracy proxies.
Practical implications
The sample period of this study (2013-2015) allows to understand disclosure behaviour after the international IR framework was published and endorsed by the JSE. The release of the IIRF gave clear guidance to firms regarding the nature and purpose of IR. Overall, the results obtained in this paper are consistent with IR expectations, thus providing useful information for investors and financial analysts. It is expected that the results might have practical implications for other nations about the cost and benefits of implementing integrated management reporting.
Originality/value
This paper contributes incrementally to the existing debate about whether disclosure information through IR has real benefits or is a passing fad. It examines the economic consequences of IR in a mandatory setting using an in-house ranking system, adapted to South Africa, designed by IRAS to determine IR quality. IRAS provides an SDTI that assesses the accuracy, consistency, completeness and reliability of quantitative data for 84 indicators based on IR and global reporting initiative aspects and subdivided into seven categories.
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Huili Tang, Steven J. Hite, Julie M. Hite, David McKay Boren and E. Vance Randall
The purpose of this ontologically qualitative research study was to (a) explore student narratives regarding their educational experiences in at-home internationalization…
Abstract
Purpose
The purpose of this ontologically qualitative research study was to (a) explore student narratives regarding their educational experiences in at-home internationalization programs; (b) provide an in-depth narrative analysis of student learning challenges and achievements; and (c) add valuable research-based knowledge of student-described experiences for use by program administrators.
Design/methodology/approach
Participants were selected with a form of four-stage non-proportional stratified sampling. 29 participants were interviewed using a basic demographic questionnaire and an episodic interview protocol. Data were analyzed in QSR NVivo software through open, axial, and selective coding stages under the framework of grounded theory.
Findings
The findings focus on student-identified links between the challenges they encountered and their achievements. In addition, student performance level and gender were associated with the challenges and achievements reported by students. In understanding the results, the student-learning concepts found in the learned optimism, growth mindset, grit and expectancy theory approaches provide potentially fruitful insights.
Originality/value
The findings of this research have instructive implications for program administrators regarding how student challenges can be strategically chosen and shaped to generate specific, positive student achievements.
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Iling Aema Wonnie Ma, Gerard Ong, Ammar Shafaamri, Julie Nabilah Jamalludin, Nina Nazirah Ishun, Ramesh Kasi and Ramesh Subramaniam
This study aims to fabricate the acrylic-based polymeric composite coating with a hydrophobic surface associated with natural oil polyol (NOP) and polydimethylsiloxane with the…
Abstract
Purpose
This study aims to fabricate the acrylic-based polymeric composite coating with a hydrophobic surface associated with natural oil polyol (NOP) and polydimethylsiloxane with the incorporation of 3 Wt.% SiO2 nanoparticle (SiO2np) against the corrosive NaCl media.
Design/methodology/approach
The structural properties of the formulated polymeric composite coatings were investigated by using Fourier transform infrared spectroscopy, ultraviolet-visible spectroscopy, water contact angle (WCA) and cross-hatch (X-Hatch) tests. The WCA measurement was used to study the surface wettability of the formulated polymeric composite coatings. The corrosion protection performance of the nanocomposite coated on the mild steel substrate was studied by immersing the samples in 3.5 Wt.% NaCl solution for 30 days using electrochemical impedance spectroscopy.
Findings
The enhanced polymeric composite coating system performed with an excellent increase in the WCA up to 111.1° which is good hydrophobic nature and very high coating resistance in the range of 1010 Ω attributed to the superiority of SiO2np.
Originality/value
The incorporation of SiO2np into the polymeric coating could enhance the surface roughness and hydrophobic properties that could increase corrosion protection. This approach is a novel attempt of using NOP along with the addition of SiO2np.
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Michael Dinger, Julie T. Wade, Steven Dinger, Michelle Carter and Jason Bennett Thatcher
This paper investigates the dynamics between state affect and trusting cognitive beliefs on post-adoptive information technology (IT) use behaviors in the form of intention to…
Abstract
Purpose
This paper investigates the dynamics between state affect and trusting cognitive beliefs on post-adoptive information technology (IT) use behaviors in the form of intention to explore and deep structure usage. That state affect can influence behaviors is recognized in practice. In fact, some studies examine the impact of affective constructs, but the way state affect impacts how individuals use IT remains largely unexplored. The authors theorize that state affect, in the form of positive and negative affect, will influence trusting cognitive beliefs regarding an IT artifact (in terms of perceived helpfulness, capability and reliability) and, more importantly, directly influence intention to explore and deep structure usage.
Design/methodology/approach
The authors test the model using a sample of 357 IT users. Survey items were derived from established measures, and the data were analyzed using structural equation modeling.
Findings
Results of this study suggest that positive affect and negative affect impact trusting cognitive beliefs. Trusting cognitive beliefs positively impact intention to explore with an IT and deep structure usage of an IT. Even in the presence of trusting beliefs, though, positive affect directly impacts intention to explore. Positive affect and negative affect both also have various indirect, mediated effects on intention to explore and deep structure usage.
Originality/value
In order to maximize value from workplace IT, the results suggest managers foster an authentic, positive work environment in order to harness or redirect employees' emotional energies.