Big data and firm performance: The roles of market-directed capabilities and business strategy

Suoniemi, Samppa; Meyer‐Waarden, Lars; Munzel, Andréas; Zablah, Alex R.; Straub, Detmar W.

doi:10.1016/j.im.2020.103365

Cited by 99 publications

(79 citation statements)

References 109 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Over the last 30 years, the theory has received significant attention from researchers in the field of strategic management and business. Focusing on superior performance in businesses, a number of studies have tested the theory with respect to tangible resources such as financial capital (Anwar, Tajeddini, et al, 2020;Tirumalsety & Gurtoo, 2021;Xiang & Worthington, 2017), technology (Suoniemi et al, 2020;Viete & Erdsiek, 2020), new products (Rajapathirana & Hui, 2018;Ramadani et al, 2019) and unique information and knowledge . However, with the passage of time during which innovation became a key organisational success factor among strong competition and globalisation (Anwar, 2018;Clauss, 2017;Clauss et al, 2020), scholars felt the need for RBV when it came to the aspects of innovative performance and its outcomes (Anwar, 2018;Memon et al, 2020).…”

Section: New Venturesmentioning

confidence: 99%

The Role of Entrepreneurial Finance in Corporate Social Responsibility and New Venture Performance in an Emerging Market

Khattak

Anwar

Clauß

2021

The Journal of Entrepreneurship

View full text Add to dashboard Cite

Corporate social responsibility (CSR) has over the past decades transformed from a philanthropic attribute to something compulsory. It has become the imperative duty of organisations, irrespective of their size, nature of business and age. However, because of poor financial capabilities and lack of support, newly established ventures too often fail to voluntarily participate in social and environmental activities. This is one reason why national governments have initiated various programs and policies to encourage CSR and environmental activities in new ventures. However, previous studies have yet to fully reveal the effects of entrepreneurial finance on CSR and the environmental, financial and innovative performance of newly established ventures. To fill this gap, we used a survey to gather empirical evidence from 255 newly established ventures. The results indicate that entrepreneurial finance directly contributes to financial performance, while indirectly contributing to environmental and innovative performance through CSR. Our research recommends that new ventures efficiently utilise entrepreneurial finance to configure CSR activities that achieve high profitability, and environmental and innovative performance. Moreover, our research encourages governments to make financial loans to ventures engaged in social and environmental activities to help them reach their sustainable development goals.

show abstract

Section: New Venturesmentioning

confidence: 99%

The Role of Entrepreneurial Finance in Corporate Social Responsibility and New Venture Performance in an Emerging Market

Khattak

Anwar

Clauß

2021

The Journal of Entrepreneurship

View full text Add to dashboard Cite

show abstract

“…Development is widely regarded as a means of achieving competitive advantage (Suoniemi et al 2020). Because of life circumstances and a constant need for continuous improvement in accordance with the needs and desires of the individual, scholars are primarily concerned with innovation (Ciampi et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Business strategy: The influence of Strategic Competitiveness on competitive advantage

Ali¹,

Anwar²

2021

EEC

View full text Add to dashboard Cite

The study's aim was to look into the different aspects of strategic competitiveness and how they affect competitive advantage in the private sector in Iraq's Kurdistan region. The researchers used four Strategic Competitiveness dimensions to assess the current analysis (Competitive strategies, innovation culture, managerial ethics, and Innovative Ideas). In order to interpret the current analysis, a quantitative methodology was used. The technique or process that the researcher is willing to accept in selecting objects for the sample is referred to as sample design. The research sample was chosen using a random sampling method and was carried out in various banks. A total of 125 questionnaires were distributed, but only 112 participants completed them correctly. Competitive strategies as a Strategic Competitiveness dimension has an important and positive impact on competitive advantage at a 5% level, according to the findings. The findings indicate that the Strategic Competitiveness dimension of Skills & Competencies has an important and positive impact on competitive advantage at a 5% stage. The findings show that entrepreneurial thought has an important and positive impact on the Strategic Competitiveness dimension, with a competitive advantage of 5%. The findings indicate that the Strategic Competitiveness dimension of Innovative Ideas has an important and positive impact on competitive advantage at a 5% stage. Furthermore, all beta values are greater than.001. The modified R2 for all models is quite large (0.693, 0.621, 0.712, and 0.763, respectively), meaning that the models' ability to explain variance in competitive advantage due to variation in independent variables is quite good. The F-value indicates that the explanatory variables in the model are jointly statistically important, and the Durbin-Watson (DW) statistics indicate that the models have autocorrelation.

show abstract

“…Now the G-IoT needs some technological solutions to manage waste and use it for energy production. In using the G-IoT concept, many countries, e.g., China, are producing energy, and the most developed countries are using their waste for many other purposes as well, in addition to producing several resources as alternatives to natural resources [26][27][28][29][30][31][32][33][34][35]. is strategy has been realized through the adoption of G-IoT concepts and innovative technologies such as sensors, smart waste collection, and waste burning systems.…”

Section: Reduction Of Hazardous Gas Emissionsmentioning

confidence: 99%

Green Internet of Things and Big Data Application in Smart Cities Development

et al. 2021

View full text Add to dashboard Cite

This study reveals that increases in the global population command an augmented demand for products and services that calls for more effective ways of using existing natural resources and materials. The recent development of information and communication technologies, which had a great impact on many areas, also had a damaging effect on the environment and human health. Therefore, societies are moving toward a greener future by reducing the consumption of nonrenewable materials, raw materials, and resources while at the same time decreasing energy pollution and consumption. Since information technology is considered a tool for solving ecological difficulties, the green Internet of things (G-IoT) is playing a vital role in creating a sustainable home. Extensive data analysis is required to obtain a valuable overview of the large and diverse data generated by the G-IoT. The gathered information will facilitate forecasting, decision-making, and other activities related to smart urban services and then contribute to the incessant development of G-IoT technology. Therefore, even if sustainable and smart cities become an actuality, the G-IoT approach and the knowledge gained through big data (BD) analysis will make cities more sustainable, safer, and smarter. The goal of this article is to combine innovation in technological development with the main focus on resource sharing in creating cities that improve the quality of life while reducing pollution and realizing more efficient use of the raw materials. In the practice of big data science, it is always of interest to provide the best description of the data under consideration. Recent studies have pointed out the applicability of the statistical distributions in modeling data in applied sciences. In this article, we introduce a new family of statistical models to provide the best description of the life span of the wireless sensors network’s data. Based on the proposed approach, a special submodel called new exponent power-Weibull distribution is studied in detail. The applicability of the proposed model is shown by analyzing the life span of the wireless sensors network’s data.

show abstract

Big data and firm performance: The roles of market-directed capabilities and business strategy

Cited by 99 publications

References 109 publications

The Role of Entrepreneurial Finance in Corporate Social Responsibility and New Venture Performance in an Emerging Market

The Role of Entrepreneurial Finance in Corporate Social Responsibility and New Venture Performance in an Emerging Market

Business strategy: The influence of Strategic Competitiveness on competitive advantage

Green Internet of Things and Big Data Application in Smart Cities Development

Contact Info

Product

Resources

About