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The purpose of this study is to examine the interaction between banks’ lending to public and private sectors and house prices using data from the Iranian banking system including, commercial government-owned banks (CGBs), specialized government-owned banks and private banks.

The authors use quarterly data from the second quarter of 2004 to the first quarter of 2016 and apply structural vector autoregression models.

The results show that: a positive shock to the loan supply to the private sector triggers a positive response from house prices; a positive shock to the loan supply to the public sector does not trigger a positive response from house prices; house price appreciations contribute significantly to banks’ lending to the public sector but not lending to the private sector; each loan supply by three different types of banks influences house prices positively; and CGBs’ lending to the private sector does not respond to house price shocks.

Although the relationship between banks’ lending and house prices is well-established in the literature, existing studies have not yet examined whether bank ownership matters for the link between banks’ lending and house prices.

The purpose of this paper is to present a framework for the assessment of the fundamental value of house prices in the largest Ukrainian cities, as well as to identify the thresholds, the breach of which would signal a bubble.

House price bubbles are detected using two approaches: ratios and regression analysis. Two variants of each method are considered. The authors calculate the price-to-rent and price-to-income ratios that can identify a possible overvaluation or undervaluation of house prices. Then, the authors perform regression analyses by considering individual multi-factor models for each city and by using a within regression model with one-way (individual) effects on panel data.

The only pronounced and prolonged period of a house price bubble is the one that coincides with the Global Financial Crisis. The bubble signals produced by these methods are, on average, simultaneous and in accordance with economic sense.

The framework described in this paper can serve as a model for the implementation of a tool for detecting house price bubbles in other countries with emerging, small and open economies, due to adjustments for high inflation and significant dependence on reserve currencies that it incorporates.

A tool for measuring fundamental house prices and a bubble indicator for housing markets will be used to monitor the systemic risks stemming from the real estate market. Thus, it will help the National Bank of Ukraine maintain financial stability.

The framework presented in this research will contribute to the enhancement of the systemic risk analysis toolkit of the National Bank of Ukraine. Therefore, it will help to prevent or mitigate risks that might originate in the real estate market.

The authors show how to implement an instrument for detecting house price bubbles in Ukraine. This will become important in the context of the after-war reconstruction of Ukraine, with mortgages potentially becoming the main tool for the financing of the rebuilding/renovation of the residential real estate stock.

This study aims to examine the relationship between discretionary human resource (HR) practices and job satisfaction, as well as the mediating role of job crafting in the relationship between discretionary HR practices and job satisfaction.

Data were collected from 302 employees working in an information and communications technology (ICT) industry in Turkey. Structural equation modelling and bootstrapping procedure were used to test the hypothesized relationships.

The findings suggest that discretionary HR practices are significantly and positively related to employees' job satisfaction. The results also show that discretionary HR practices stimulates job satisfaction through job crafting.

Because this study was conducted using a cross-sectional research methodology with data acquired from the same source, conclusions concerning the causality of the variables cannot be inferred. The findings in this study have significant implications for human resource practitioners and business owners who invest in their employees to enhance both employee and organizational performance. The findings show that investment in HR practices prompt employees to be more proactive in devising measures and ways of performing their jobs which increases their job satisfaction hence bringing about desirable and favorable organizational outcomes.

This study adds to the growing body of research on the relationship between HRM and job satisfaction by investigating at the predictive influence of discretionary HR practices as well as the mediating role that job crafting plays.

The academic experience of top management team (TMT) has a positive impact on firms' innovation performance. However, existing studies predominantly focus on the educational qualifications and institutional prestige of TMT, failing to comprehensively evaluate whether TMT possess genuine academic experience and the role of academic competence. This article aims to examine whether TMT academic competence has a potential influence on firm innovation performance and to understand the mechanisms behind this relationship.

Using firm-level metrics of Chinese listed firms and TMT scholarly publication data spanning 2000–2021, this paper investigates whether TMT academic competence can promote firms' innovation performance and conducts a moderated mediating effect analysis.

(1) Academic competence of TMT can contribute positively to firms’ innovation performance; (2) university–industry collaboration partially mediates this relationship; (3) the mediating effect is enhanced by cognitive proximity and (4) distance proximity does not diminish the mediating effect.

Outcome of this study can assist academia in further understanding the impacts of TMT on firm innovation and aid government in promoting university–industry collaboration. Simultaneously, it can help firms adjust their TMT selection and training strategies to enhance innovation performance.

This article, as the first to construct an index of academic competence and to explore whether it has an impact on firms' innovation performance and its inherent mechanism, can provide a new research perspective for the study of the impact of TMT's characteristics on firms' innovation.

This paper aims to demonstrate how to apply the systemic lessons learned knowledge (Syllk) model to enable the organisation for the capability of an online community of practice (CoP).

The research method consisted of multiple spiral “action research” cycles (plan, action, observe and reflect) within a government organisation. The initial planning stage consisted of interviews followed by two focus groups to identify the facilitators and barriers that impact the initial design of the Syllk model within the organisation. Established knowledge management practices were aligned with each of the Syllk elements to address the identified barriers and facilitate learning as the action cycles progressed. Online CoP initiatives were implemented with two action research cycles completed. Actions were observed, monitored, evaluated and reflected on using an after action review process.

The results from this research shows how the capability of a CoP can be “wired” (distributed) across organisational systems, and how the Syllk model can be used to conceptually facilitate this. The research highlights the importance in understanding organisational knowledge facilitators and barriers and the associated practices to reflect and learn from past experiences.

The paper demonstrates an application of the Syllk model, and that action research can benefit project and knowledge management researchers and practitioners.

This study contributes to practice by highlighting how to use the Syllk model to “wire” an organisation for some know-how capability.

This study applies a conceptual model enabling management to understand how organisational know-how is distributed (wired) across various systems of an organisation for an online CoP.