Resource Complementarity and IT Economies of Scale: Mechanisms and Empirical Evidence

Woudstra, Ulco; Berghout, Egon; Tan, Chee‐Wee; Eekeren, Patrick van; Dedene, Guido

doi:10.1080/10580530.2017.1288527

Cited by 12 publications

(8 citation statements)

References 51 publications

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“…There are, however, several variables influencing the high or low market capitalization and an example is the information published concerning the implementation of corporate governance. The basic framework to predict the reaction of the stock market to this information is explained through the use of signaling theory (Woudstra et al, 2017). Several existing studies have confirmed that stock market rewards companies with more comprehensive corporate governance with high values but there are limited studies on the reasons for this action (Pae & Choi, 2011).…”

Section: Public Interest Statementmentioning

confidence: 99%

“…There are diverse opinions concerning the definition of intellectual capital and this has led to the identification of the main three elements involved (Mention & Bontis, 2013;Morariu, 2013), and these include human, structural or organizational, and relational or customer capitals. Moreover, the disclosure of the intellectual capital in an annual report showed existing and potential investors the intangible assets owned by a company (Woudstra et al, 2017) and the prediction of the market reaction to the information disclosed can be explained by the signaling theory (Anam et al, 2011).…”

Section: Intellectual Capital Disclosurementioning

confidence: 99%

“…The theory of signaling frameworks explains the reaction of the market to the information provided by companies (Woudstra et al, 2017). It also showed high-quality companies demonstrate their superiority in the market through disclosure (Gerayli et al, 2011).…”

Section: H2: Corporate Governance Has a Significant Impact On Market Capitalizationmentioning

confidence: 99%

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Corporate governance on intellectual capital disclosure and market capitalization

Widiatmoko

Indarti

Pamungkas

2020

Cogent Business & Management

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Intellectual capital (IC) has been widely recognized as an important resource in creating value and competitive advantage for companies. This study therefore examined the effect of corporate governance on intellectual capital disclosure and market capitalization through the use of the companies listed in the Indonesian Corporate Governance Forum (FCGI) during 2015-2018 as a case study. A path analysis was conducted and the results showed corporate governance practices have a positive influence on intellectual capital disclosure which has a consequent effect on market capitalization. This research was able to show the direct and indirect relationships of corporate governance and market capitalization through the use of intellectual capital disclosure as a mediating variable.

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Section: Public Interest Statementmentioning

confidence: 99%

Section: Intellectual Capital Disclosurementioning

confidence: 99%

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Corporate governance on intellectual capital disclosure and market capitalization

Widiatmoko

Indarti

Pamungkas

2020

Cogent Business & Management

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“…The economical scale is the condition where the output growth is twice as fast as the input, in which if the input price is constant so the cost per unit of output will be lower and the result scale will increase. The companies with a larger output have a different technique with the company having a lower output scale (Woudstra et al, 2017). According to (Irwandi et al, 2019;Sari et al, 2020;Tristiarini et al, 2017), the company emphasizes the theory of economies of scale as a factor that determines the optimal company size and implies the increased profitability.…”

Section: Literature Reviewmentioning

confidence: 99%

Does Financial Performance Matter? Evidence on the Impact of Liquidity and Firm Size on Stock Return in Indonesia

Chabachib¹,

Setyaningrum²,

Hersugondo³

et al. 2020

IJFR

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In the modern era, stock investment can attract domestic investors or foreign investors. The objective is to invest their funds at the capital market that expect higher stock returns. The study aims to analyze factors that can affect stock returns and know the mediating effect of return on equity. The object of this research is the property and real estate sector that is listed on the Indonesia Stock Exchange from 2013 to 2018. This research used debt to equity ratio, current ratio, total asset turnover, firm size as independent variables and stock returns as dependent variables. Path analysis is used as reseach method tools with SMART PLS.The result says that debt to equity ratio and return on equity has a positive significant relationship with stock return, meanwhile firm size has a significant negative significant relationship with stock returns. Furthermore, return on equity can mediate the relationship between debt and equity ratios to stock returns.

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“…It is also discussed that startups, especially in developing nations, use third parties' infrastructure or share IT services in their initial years (Koutsabasis et al, 2008;Nelson et al, 2005). Some of the firms adopt these tools with their current IT configuration and then expand with time as per the requirement and funds (Woudstra et al, 2017;Boja et al, 2012).…”

mentioning

confidence: 99%

A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach

Behl

Dutta

Lessmann

et al. 2019

Inf Syst E-Bus Manage

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E-commerce start-ups have ventured into emerging economies and are growing at a significantly faster pace. Big Data has acted like a catalyst in their growth story. Big Data Analytics (BDA) has attracted e-commerce firms to invest in the tools and gain cutting edge over their competitors. The process of adoption of these BDA tools by ecommerce start-ups has been an area of interest as successful adoption would lead to better results. The present study aims to develop an interpretive structural model (ISM) which would act as a framework for efficient implementation of BDA. The study uses hybrid multi criteria decision making processes to develop the framework and test the same using a real-life case study. Systematic review of literature and discussion with experts resulted in exploring 11 enablers of adoption of BDA tools. Primary data collection was done from industry experts to develop an ISM framework and fuzzy MICMAC analysis is used to categorize the enablers of the adoption process. The framework is then tested by using a case study. Thematic clustering is performed to develop a simple ISM framework followed by fuzzy analytical network process (ANP) to discuss the association and ranking of enablers. The results indicate that access to relevant data forms the base of the framework and would act as the strongest enabler in the adoption process while the company rates technical skillset of employees as the most important enabler. It was also found that there is a positive correlation between the ranking of enablers emerging out of ISM and ANP. The framework helps in simplifying the strategies any e-commerce company would follow to adopt BDA in future.

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Resource Complementarity and IT Economies of Scale: Mechanisms and Empirical Evidence

Cited by 12 publications

References 51 publications

Corporate governance on intellectual capital disclosure and market capitalization

Corporate governance on intellectual capital disclosure and market capitalization

Does Financial Performance Matter? Evidence on the Impact of Liquidity and Firm Size on Stock Return in Indonesia

A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach

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