Search results

Scandinavia is always one of my favourite destinations for a number of reasons. First of all, I like the cleanliness of the atmosphere which certainly helps to keep one fresh at the end of a long day. Then on some days it gives that incredible clarity and luminosity so admired by artists and which in turn may have led to the clean lines of Scandinavian design. The striking memorial to Sibelius is a tribute to both Finnish design and her most famous musician. In fact, ‘Finlandia’ is the first piece of classical music I can remember and 1 first heard it on earphones using a crystal set. In those days virtually all receivers were hand made, even to hand‐wound coils. Loud‐speakers were an expensive rarity.

Hate speech in recent times has become a troubling development. It has different meanings to different people in different cultures. The anonymity and ubiquity of the social media provides a breeding ground for hate speech and makes combating it seems like a lost battle. However, what may constitute a hate speech in a cultural or religious neutral society may not be perceived as such in a polarized multi-cultural and multi-religious society like Nigeria. Defining hate speech, therefore, may be contextual. Hate speech in Nigeria may be perceived along ethnic, religious and political boundaries. The purpose of this paper is to check for the presence of hate speech in social media platforms like Twitter, and to what degree is hate speech permissible, if available? It also intends to find out what monitoring mechanisms the social media platforms like Facebook and Twitter have put in place to combat hate speech. Lexalytics is a term coined by the authors from the words lexical analytics for the purpose of opinion mining unstructured texts like tweets.

This research developed a Python software called polarized opinions sentiment analyzer (POSA), adopting an ego social network analytics technique in which an individual’s behavior is mined and described. POSA uses a customized Python N-Gram dictionary of local context-based terms that may be considered as hate terms. It then applied the Twitter API to stream tweets from popular and trending Nigerian Twitter handles in politics, ethnicity, religion, social activism, racism, etc., and filtered the tweets against the custom dictionary using unsupervised classification of the texts as either positive or negative sentiments. The outcome is visualized using tables, pie charts and word clouds. A similar implementation was also carried out using R-Studio codes and both results are compared and a t-test was applied to determine if there was a significant difference in the results. The research methodology can be classified as both qualitative and quantitative. Qualitative in terms of data classification, and quantitative in terms of being able to identify the results as either negative or positive from the computation of text to vector.

The findings from two sets of experiments on POSA and R are as follows: in the first experiment, the POSA software found that the Twitter handles analyzed contained between 33 and 55 percent hate contents, while the R results show hate contents ranging from 38 to 62 percent. Performing a t-test on both positive and negative scores for both POSA and R-studio, results reveal p-values of 0.389 and 0.289, respectively, on an α value of 0.05, implying that there is no significant difference in the results from POSA and R. During the second experiment performed on 11 local handles with 1,207 tweets, the authors deduce as follows: that the percentage of hate contents classified by POSA is 40 percent, while the percentage of hate contents classified by R is 51 percent. That the accuracy of hate speech classification predicted by POSA is 87 percent, while free speech is 86 percent. And the accuracy of hate speech classification predicted by R is 65 percent, while free speech is 74 percent. This study reveals that neither Twitter nor Facebook has an automated monitoring system for hate speech, and no benchmark is set to decide the level of hate contents allowed in a text. The monitoring is rather done by humans whose assessment is usually subjective and sometimes inconsistent.

This study establishes the fact that hate speech is on the increase on social media. It also shows that hate mongers can actually be pinned down, with the contents of their messages. The POSA system can be used as a plug-in by Twitter to detect and stop hate speech on its platform. The study was limited to public Twitter handles only. N-grams are effective features for word-sense disambiguation, but when using N-grams, the feature vector could take on enormous proportions and in turn increasing sparsity of the feature vectors.

The findings of this study show that if urgent measures are not taken to combat hate speech there could be dare consequences, especially in highly polarized societies that are always heated up along religious and ethnic sentiments. On daily basis tempers are flaring in the social media over comments made by participants. This study has also demonstrated that it is possible to implement a technology that can track and terminate hate speech in a micro-blog like Twitter. This can also be extended to other social media platforms.

This study will help to promote a more positive society, ensuring the social media is positively utilized to the benefit of mankind.

The findings can be used by social media companies to monitor user behaviors, and pin hate crimes to specific persons. Governments and law enforcement bodies can also use the POSA application to track down hate peddlers.

The purpose of this paper is to empirically explore how the effect of intellectual capital (IC) on organizational performance is indirect and mediated through performance measurement (PM) systems.

Data were collected from a survey of 128 chief financial officers of Iranian publicly listed companies. Hypotheses were tested using partial least squares regression, a structural modeling technique which is appropriate for highly complex predictive models.

Results from the structural model indicate that, in general, companies with a higher level of IC place a premium on the balanced use of PM systems in a diagnostic and interactive style. Furthermore, the results provide some evidence that IC is indirectly associated with organizational performance through the intervening variable of the balanced use of interactive and diagnostic PM systems.

This study sheds light on the issue of how senior management should use PM systems to take full advantage of intellectual assets which could lead to improved organizational performance.

This is the first study of its kind to synthesize a model which examines IC, PM systems, and organizational performance. Although the effect of different types of intangible assets on performance has been substantially examined in the literature, less effort has been devoted to understanding the role of PM systems in leveraging an organization’s IC.

The objective in investor relationships is to create common long‐term interaction between the companies and their direct and indirect partner groups in the investor community. Information provided for the investors is a key instrument in investor relationship marketing. The short‐term investor episodes initially form the basis of long‐term investor relations. Various relational bonds of attraction, trust and commitment may evolve in the investor community. Attraction is mainly a future‐oriented bond. It incorporates the expectations of each party concerning the potential rewards of the exchange relationship over time. Trust has its roots clearly in the common history of the relationship, but is essentially also coloured by current expectations about the future. Commitment is the most advanced bond and takes the most time to develop. It primarily reflects the prior history of the relationship. Empirical evidence from the Finnish stock market suggests that success in investor relations requires the companies to extend the scope of investor relations from a mere publication of obligatory annual and interim reports to more frequent, extensive, proactive and diversified two‐way interaction and communication.

Previous research has predominantly focused on the meaning of prior entrepreneurial experience in the context of habitual entrepreneurship. To date, however, little is known about how previous experience affects the way in which several firms can be managed simultaneously. The purpose of this study is to examine entrepreneurial learning in the context of portfolio entrepreneurship and clarify how it is possible to manage several firms at the same time.

An exploratory study using a case method was conducted (Eisenhardt; Yin) by focusing on one portfolio entrepreneur. In this study, the case can be considered as unusual thus being suitable for a single‐case study. Data were collected through interviews and the entrepreneur also provided the researchers with a written description of the development and present situation of his entrepreneurial career.

This study proposes that failures may develop entrepreneurial knowledge as well as founding experiences. Development of entrepreneurial knowledge is viewed as leading to new ways of organizing and managing start‐up firms. Learning through previous experiences has strengthened entrepreneurial knowledge and contributed to the formation of the management team (MT). Without cooperation, delegation and sharing responsibilities, successful portfolio entrepreneurship would not have been realized. However, the results suggest that learning from failure is dependent on the entrepreneur's personal background.

This study seeks to bring new insight to portfolio entrepreneurship by concentrating on the entrepreneurial career of a well‐known Finnish entrepreneur by following the framework of Politis. In this case, a MT in each firm enabled effective control and management of the current firm portfolio. The study shows that in addition to the entrepreneurial team, the management teams can also have a significant role in the context of portfolio entrepreneurship although they have largely been ignored.

It is conceivable that cannabis cultivators who grow for medical purposes aim to improve the therapeutic index of their cannabis by attempting to produce particular concentrations of CBD and/or THC. The purpose of this paper is to examine whether small-scale medical cannabis growers differ from those growing for recreational reasons in terms of self-assessed concentrations of THC and CBD in the cannabis they grow.

Data collection was conducted online from a convenience sample of 268 cannabis growers visiting a popular Israeli cannabis internet forum. χ² and Kruskal–Wallis H were used to test bivariate associations between medical and recreational cannabis cultivators in terms of self-assessed cannabinoid concentrations.

In total, 40 percent of cannabis growers reported that they grow for medical purposes. Medical cannabis growers were more likely to report that they thought they knew the cannabinoid concentrations of the cannabis they grew and they reported higher self-assessed concentrations of THC, but not CBD.

Compared to recreational growers, medical cannabis growers are more likely to strive to be informed in terms of the content of their cannabis. Medical growers may also be attempting to grow more potent THC but not CBD cannabis.

Quality educational leadership preparation has positive influences on practices of graduates. In the Finnish decentralized education system, little is yet known about the sources of principals’ practices. This research explores the sources of principals’ self- assessed leadership practices in Central Finland and identifies areas for more emphasis. Respondents were selected by purposive sampling. This multiple case study employed eight semi-structured individual interviews as means of data collection. Inductive content analysis was performed. From the findings, besides personal experiences, knowledge from course, and field work, leadership and networking are also major sources of principals' practices. Training positively enhances the practices of principals as they engage in more collaboration and trust. Notwithstanding, professional development is essential for principals to stay relevant to the contemporary world of today and to be confident to face future challenges. Methods of course delivery, management of human and financial resources, as well as creating and sustaining local and international collaborations with other training institutions should be prioritized to improve on training.

For decades, it was emphasized that manufacturing and trading companies should aim to be lean with very small inventories. However, in the recent decade, time-significant change has taken place as nearly all of the “old west” countries have now low interest rates. Holding inventories have been beneficial for the sake of customer service and for achieving savings in transportation and fixed ordering costs.

In this study, inventory management change is examined in publicly traded manufacturing and trade companies of Finland and three Baltic states (Estonia, Latvia and Lithuania) during the years 2010–2018.

Inventory efficiency has been leveled off or falling in these countries and mostly declining development has concerned small- and medium-sized enterprises (SMEs). It is also found that inventory efficiency is in general lower in SMEs than in larger companies. Two companies sustaining in inventory efficiency are used as an example that lean has still significance, and higher inventories as well as lower inventory efficiency should not be the objective. Two companies show exemplary financial performance as well as shareholder value creation.

Work concerns only four smaller countries, and this limits its generalization power. Research is one illustration what happens to private sector companies under low interest rate policies.

Continuous improvement of inventory efficiency becomes questionable in the light of current research and the low interest rate environment.

This is one of the seminal studies from inventory efficiency as the global financial crisis taken place in 2008–2009 and there is the implementation of low interest rates.