Creating firm value, overcoming organizational inertia through the marketing value chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Walter Palomino-Tamayo ◽  
Juan S. Timaná
Keyword(s):  
Organizational Behavior ◽  
Value Chain ◽  
Firm Value ◽  
Organizational Transformation ◽  
Functional Model ◽  
Least Square ◽  
Seemingly Unrelated Regression ◽  
Data Set ◽  
Content Type ◽  
Organizational Inertia

PurposeTechnology may produce disruptive changes and market turbulence in any industry. Organizational inertia becomes relevant as a factor that adversely affects organizational transformation; this study aims to examine how to overcome it and its consequences to firms.Design/methodology/approachThe model estimation with seemingly unrelated regression and two-stage least square. The authors build a data set of years 2015–2019 from the Lima Stock Exchange firms to test the hypotheses.FindingsIn this research, using the evolutionary-ecological theory of Hannan and Freeman, the study shows the consequences of organizational inertia on marketing intensity and subsequently on firms' financial results.Originality/valueThis study presents an inter-functional model that links organizational behavior, marketing and finance functions, through the marketing value chain to overcome organizational inertia and create firm value.

scholarly journals The impact of cash conversion cycle on firm profitability

2014 ◽  
Vol 10 (4) ◽  
pp. 442-452 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Firm Value ◽  
Seemingly Unrelated Regression ◽  
Set Covering ◽  
Level Control ◽  
Working Capital ◽  
Data Set ◽  
Content Type ◽  
Cash Conversion Cycle ◽  
Firm Profitability ◽  
The Impact

Purpose – The purpose of this paper is to seek to investigate the impact of cash conversion cycle (CCC) on performance (i.e. profitability) in Swedish small and medium-sized enterprises (SMEs) over the 2008-2011 period. Design/methodology/approach – The study uses a seemingly unrelated regression (SUR) model to analyse cross-sectional panel data covering 13,797 SMEs operating in four industries. Findings – The study provides empirical evidence that CCC significantly affects profitability. In addition, the firm-level control variables size, age, and industry affiliation significantly affect firm profitability. These findings imply that managers could increase firm profitability by improving their working capital management. Research limitations/implications – The present study is limited to a sample of Swedish SMEs in four industries; further research could examine the generalizability of these findings to other countries and industries. Practical implications – Improved working capital policy could improve firm profitability by reducing the firm's CCC, thereby creating additional firm value. In addition, the results can be used for other purposes, including monitoring of firms by auditors, debt holders, and other stakeholders. Originality/value – The present study contributes to the literature by employing a SUR model to analyse a comprehensive cross-sectoral sample in a high-tax environment. To the authors’ knowledge, this is the first empirical study to address this issue in the Swedish context based on a large data set covering SMEs in various industries.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

Abusive supervision, supervisor undermining, and turnover intentions: mediation of quiescent silence and desire to seek revenge among Thai banking frontliners

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gul Afshan ◽  
Muhammad Kashif ◽  
Damrong Sattayawaksakul ◽  
Pimpa Cheewaprakobkit ◽  
Shanika Wijenayake
Keyword(s):  
Organizational Behavior ◽  
Social Exchange ◽  
Structural Equation ◽  
Turnover Intentions ◽  
Abusive Supervision ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Trickle Down

Purpose Drawing on the social exchange theory, this study aims to investigate the destructive impact of abusive supervision and supervisor undermining on quiescent silence and turnover intentions among frontline employees. Whether quiescent silence and the desire to seek revenge mediate the path from aggressive supervisory behaviors to turnover intentions is explored. Design/methodology/approach Following a time-lagged design, the authors collected data from 350 frontline banking officers in Thailand by a survey. For data analysis purposes, structural equation modeling procedures are used through Smart partial least square version 3.2.0. Findings Uniquely, findings suggest that abusive supervision does not result in any form of retaliation. Supervisor undermining has a trickle-down effect on the desire to revenge, quiescent silence and turnover intentions. For supervisor undermining, the direct path, as well as mediating roles are supported by data. Practical implications The findings of this study suggests organizational systems should discourage supervisors from undermining the subordinates. There is a need to offer regular training to supervisors. Furthermore, employees should be provided some platforms and the freedom to positively speak at work. Above all, supervisors should be more inspiring which can dilute negative perceptions of abuse. Originality/value The proposed mediation of desire to revenge and quiescent silence is unique to this study. Moreover, the challenge to the traditional trickle-down effects of abusive supervision is a unique intervention in the organizational behavior literature.

Sensitivities of Southeast Asian industries to the local and global business cycles

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Javed Iqbal
Keyword(s):  
Business Cycle ◽  
Durable Goods ◽  
Developed Countries ◽  
Least Square ◽  
Seemingly Unrelated Regression ◽  
Manufacturing Industries ◽  
Series Data ◽  
Global Business ◽  
Asymmetric Reaction ◽  
Content Type

PurposeThis paper estimates the sensitivities of the output of the manufacturing industries of the four Southeast countries (Indonesia, Malaysia, Philippines, Singapore) to both the country-specific and global business cycle fluctuations. The study investigates whether the business cycle exposures of these industries differ to their nature classified as producing durable or nondurable goods and also to booms and recessions.Design/methodology/approachUsing annual time series data on sectoral manufacturing production indices for major manufacturing industries over the period from 1999 to 2018, this paper uses the seemingly unrelated regression (SUR)–based generalized least square estimator to estimate the exposures of each industry for each of the four countries to local and world business cycle.FindingsThe individual country analysis indicates that generally the sensitivities of the ASEAN manufacturing industries to booms and recessions are different from the pattern observed in the developed countries and Russia. We do not find evidence consistent with the commonly held view among economists and business managers that demand for durable goods flourishes in booms and falls in recessions. Also, very few industries exhibit an asymmetric reaction to booms and busts. However, the analysis of panel data reveals the expected pattern of industrial sensitivities to the local business cycle only.Originality/valueThe paper makes several contributions. Firstly, the model proposed in the paper estimates sensitivities of industries to both the local and global business cycle variations. Secondly, the model enables us to explicitly test the asymmetric reaction of industries to booms and busts. Thirdly, the paper is the first attempt to estimating business cycle exposures for manufacturing industries in emerging markets.

The effects of corporate disclosure on firm value and firm performance: evidence from Turkey

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hüseyin Temiz
Keyword(s):  
Firm Performance ◽  
Firm Value ◽  
Fixed Effects ◽  
Ordinary Least Squares ◽  
Least Square ◽  
Corporate Disclosure ◽  
Content Type ◽  
Regulatory Bodies ◽  
Transparency And Disclosure ◽  
The Cost

Purpose The purpose of this study is to investigate the effects of firms’ disclosure practices on firm value and firm performance. Design/methodology/approach Firms’ disclosure scores were calculated based on unique hand-collected data by using the S&P transparency and disclosure index (S&P TD index). Ordinary least squares with year/firm fixed effects and two-stage least square methods were used to test the hypothesis. Findings It is observed that firms’ disclosure scores have positive and statistically significant effects on firm value. However, firms’ disclosure scores do not have significant effects on firm performance. This result is mostly observed in sub-categories of the index. Practical implications Results show that disclosed information has an impact on firm value. Therefore, standardization and increasing the reliability of this information are necessary for both information users and firms. It is important to standardize the information published by the firms and to increase their reliability by implementing new regulations by regulatory bodies in Turkey. Social implications Firms bear the costs due to their disclosure practices. However, the benefits derived from this situation may be higher than the cost incurred. Hence, it is suggested that firms that are traded in Turkey consider this in the determination of their disclosure policy. Originality/value This is the first study that investigates the effects of firms’ disclosure scores on both firm value and firm performance by using the S&P TD index in the Turkish context.

Board composition and value relevance of Ghanaian firms: a seemingly unrelated regression approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ebenezer Agyemang Badu ◽  
Ebenezer Nyarko Assabil
Keyword(s):  
Best Practices ◽  
Firm Value ◽  
Value Relevance ◽  
Practical Implication ◽  
Seemingly Unrelated Regression ◽  
Board Composition ◽  
Content Type ◽  
Listed Firms ◽  
Unrelated Regression ◽  
The Impact

PurposeThe purpose of this study is to examine the connection between board composition and value relevance of financial information in Ghana.Design/methodology/approachThe study uses a panel data of 144 firm-year observations of listed firms in Ghana.FindingsThe study finds that a higher fraction of independent directors is associated with lower firm value. The study further finds that board size is positively related to firm value, whereas duality is negatively associated with firm value.Practical implicationsThe practical implication of this paper is that investors and regulators should be mindful that specifying governance composition should not only be based on “so-called” codes of best practices but also the level of the country's or the sector's development and local institutional structures.Originality/valueThis study uses five different measurements of market share and considers the impact of the provision of the Code of Best Practices in Ghana.

Determinates of Islamic banks liquidity

2020 ◽  
Vol 11 (8) ◽  
pp. 1619-1632
Author(s):  
Ahmad Al-Harbi
Keyword(s):  
Monetary Policy ◽  
Deposit Insurance ◽  
Fixed Effect Model ◽  
Least Square ◽  
Data Set ◽  
Content Type ◽  
Effect Model ◽  
Ratio Size ◽  
Cross Country ◽  
The One

Purpose The purpose of this paper is to investigate the determinants of Islam banks (IBs) liquidity. Design/methodology/approach In this paper, the author uses a generalized least square fixed effect model on an unbalanced panel data set of all IBs operating in the Organization of Islamic Cooperation countries over the period 1989-2008. Findings The estimation results show that all the determinants have statistically significant relationships with IBs’ liquidity but with different signs. On the one hand, foreign ownership, credit risk, profitability, inflation rate, monetary policy and deposit insurance negatively affected IBs liquidity. On the other hand, capital ratio, size gross domestic product growth and concentration have a positive nexus with IBs’ liquidity. Originality/value According to the best of the author’s knowledge, this is the first empirical study to investigate the determinants of IBs liquidity using cross-country data with a large sample of IBs (110 banks) and over a long period (19 years). Also, the paper included variables that had not been discussed on the previous studies, which used cross-country data, such as efficiency, deposit insurance, monetary policy, concentration and market capitalization.

Impact of business model innovations on SME’s innovativeness and performance

2019 ◽  
Vol 14 (4) ◽  
pp. 521-539 ◽  
Author(s):  
Rimantas Gatautis† ◽  
Egle Vaiciukynaite ◽  
Asta Tarute
Keyword(s):  
Business Model ◽  
Structural Equation ◽  
Positive Impact ◽  
Equation Modeling ◽  
Future Research ◽  
Data Set ◽  
Content Type ◽  
Innovation Activities ◽  
Organizational Inertia ◽  
Multiple Characteristics

Purpose Business model innovations (BMIs), their drivers and outcomes are attracting increasing attention in academic literature. However, previous studies have mainly focused on large companies, while knowledge of BMI in small-to-medium-sized enterprises (SMEs) is limited. Therefore, the purpose of this paper is to add new insights into how related BMI drivers, practices and outcomes are in relation to SMEs. Design/methodology/approach An extensive review of the existing literature was performed. Consequently, the relationships between BMI drivers, BMI practices and outcomes of BMI were developed as a conceptual framework. An empirical study was carried out. A structural equation modeling (SEM) procedure was used to empirically test the model using a quantitative data set of Lithuanian SMEs (n=73). Findings The study provides insights into the relations between BMI drivers, BMI practices and outcomes of BMI in SMEs. The findings of SEM, four drivers (innovation activities, strategic orientation, market and technology turbulence, respectively) are indicated to contribute to BMI of SMEs. In addition, the results proved that the implementation of BMI practices leads to strategic and architectural changes in firms and has a positive impact on SMEs performance and innovativeness. Research limitations/implications Empirical research is focused on a limited number of internal and external BMI drivers, which have an influence on BMI in SMEs from one geographical region. Consequently, there are many external and internal BMI drivers which also may have an influence on BMI in SMEs, such as industry life cycle, organizational inertia and leadership. Meanwhile, SMEs possess multiple characteristics, i.e. a phase of maturity, gender of CEO, firm size and industry; therefore, the aforesaid aspects are considered to be significant limitations. In addition, the importance of SMEs characteristics as mediators for the effects on a firm’s performance and innovativeness should be considered in future research avenues. Practical implications Findings of this research can be used by SME managers to better understand how firms might actively engage in BMI practices, what drivers lead to BMI and, in turn, affect their firm’s performance and innovativeness. SME managers should be encouraged to pay attention to strategic and architectural changes of BM that can contribute to enterprise performance and innovativeness. Originality/value This paper adds to the stream of BMI research by empirically exploring drivers and outcomes of BMI in SMEs. In addition, this paper fulfills research gaps proposed by Bouwman et al. (2018), Foss and Saebi (2017), Heikkilä, Bouwman and Heikkilä (2018) and Lambert and Davidson (2013), and enhances the current overall understanding of BMIs.

Impact of occupational migration of unskilled labourer from domestic agriculture on farm business income in source households of Assam, India

2020 ◽  
Vol 47 (12) ◽  
pp. 1561-1576
Author(s):  
Bodrul Islam ◽  
Pradyut Guha
Keyword(s):  
Strong Predictor ◽  
Least Square ◽  
Primary Data ◽  
Data Set ◽  
Content Type ◽  
Brahmaputra Valley ◽  
Business Income ◽  
Farm Business ◽  
On Farm ◽  
Unskilled Labourer

PurposeThe present study aims at examining the determinants of occupational migration of unskilled labourer from domestic agriculture and their impact on farm business income (FBI) in Assam, India.Design/methodology/approachPrimary data for this study were collected during June–November, 2019 from 224 farm (cultivator) households in two contiguous districts in central Brahmaputra valley of Assam. The study used three-stage least square (3SLS) estimation technique for jointly determining the factors influencing migration and remittances and their impact on FBI.FindingsThe result of this study confirms that occupational migration of unskilled labourer from domestic agriculture significantly reduced household FBI. In contrast to the inflow of remittances from migrants helped in increasing the FBI. The migration in the study area considerably influenced by household size, total value of assets holding, networking influence, distance to commercial bank and flood proneness of the village; while the number of migrants, number of dependents and age of migrants seen to be strong predictor of inflow of remittances. Findings of present study offer evidence in support of the new economics of labour migration (NELM) theory.Research limitations/implicationsThe study is restricted to a single crop (paddy) and constrained by the collection of longitudinal data with a revisit to the farm household pre and post-migration of the unskilled labourer from household agriculture.Originality/valueThis paper is based on a novel data set that has especially been collected to examine the determinants of occupational migration from agriculture and their impact on the FBI in Assam that has not been studied before.

Price premium of private placement: evidence from India

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Supriya Katti ◽  
Naval Verma ◽  
B.V. Phani ◽  
Chinmoy Ghosh
Keyword(s):  
Emerging Market ◽  
Least Square ◽  
Price Premium ◽  
Group Affiliation ◽  
Data Set ◽  
Content Type ◽  
Equity Issues ◽  
Private Placement ◽  
Ordinary Least Square Regression ◽  
Binary Probit

PurposeThis study identifies the factors responsible for obtaining price premium on privately placed equity in a developing market.Design/methodology/approachWe examine a unique data set of a special case of private placement of equity, Qualified Institutional Placement (QIP) in India purchased at a premium. The study analyzed 188 equity issues offered between September 2006 and December 2014. On average, we find that QIP issues received a price premium of 4.38%. The study employed binary probit and ordinary least square regression models to analyze the probability and magnitude of the premium.FindingsThe study attributes the price premium of QIP to certification effect through group affiliation, signaling through promoters' ownership and monitoring effect through existing institutional investors. These factors influence the probability of premium for QIP issues. However, group affiliation and institutional ownership do not significantly influence the magnitude of the premium.Originality/valueThe private placement of equity is usually offered at a discount. Our findings contribute to the existing literature by evaluating the premium obtained on private placement as a unique scenario in emerging market supported through certification hypothesis, monitoring hypothesis and signaling.

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