Voice Messaging

Davis, Barbara D.; Tisdale, Judy Jones; Krapels, Roberta H.

doi:10.1177/108056990106400215

Cited by 2 publications

(3 citation statements)

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“…An FD model is suggested for the NP index by the fact that, when presented with all autoregressive/fractionally differenced models with the autoregressive order ranging from zero to ten, the ITSM order selection criterion [5] picked the FD process as the best model [7]. An FD process can be synthesized using an aggregation of first order differential equations involving many different damping constants [1].…”

Section: Short Memory Modelmentioning

confidence: 99%

“…An AR(1) process is widely used in the physical sciences as a default model for correlated time series [17]. It is suggested as a viable model for the NP index by the fact that, when presented with all possible autoregressive/moving average models of orders ranging from zero to ten, the default order selection criterion used by the ITSM software package [5] picked the AR(1) process as the best model [7]. An AR(1) process is related to a discretized first order stochastic differential equation with a single damping constant that is related to φ.…”

Section: Short Memory Modelmentioning

confidence: 99%

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Modeling North Pacific Climate Time Series

Percival

Mofjeld

2004

Time Series Analysis and Applications to Geophysical Systems

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Abstract. We present a case study in modeling the North Pacific (NP) index, which is a time series related to atmospheric pressure variations at sea level. We consider three statistical models, namely, a Gaussian stationary autoregressive process, a Gaussian stationary fractionally differenced (FD) process, and a 'signal plus noise' process consisting of a square wave oscillation with a pentadecadal period embedded in Gaussian white noise. Each model depends upon three parameters, so all three models are equally simple. Statistically each model fits the NP index equally well. The fact that this index consists of just a hundred observations makes it unrealistic to expect to be able to clearly prefer one model over the other. Although the models fit equally well, their implications for the long term behavior of the NP index can be quite different in terms of, e.g., generating regimes of characteristic lengths (i.e., stretches of years over which the NP index is predominantly either above or below its long term average value). Because we cannot determine a preferred model statistically, we are faced with either entertaining multiple models when considering what the long term behavior of the NP index is likely to be or using physical arguments to select one model. The latter approach would arguably favor the FD process because it has an interpretation as the synthesis of first order differential equations involving many different damping constants.

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Section: Short Memory Modelmentioning

confidence: 99%

Section: Short Memory Modelmentioning

confidence: 99%

Modeling North Pacific Climate Time Series

Percival

Mofjeld

2004

Time Series Analysis and Applications to Geophysical Systems

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“…This is especially true for interorganizational communication and sales prospecting. It has been estimated that in the average business 9 out of 10 calls from outsiders are sent to a voice messaging system (Davis, Tisdale, & Krapels, 2001). Similarly, even while e-mail has become a preferred medium in the past two decades, it has become a noisy one.…”

mentioning

confidence: 99%

Communication Preferences of Business-to-Business Buyers for Receiving Initial Sales Messages: A Comparison of Media Channel Selection Theories

Anders

Coleman

Castleberry

2017

International Journal of Business Communication

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Recent research on media channel selection theories has called for studies exploring communication in interorganizational business relationships and for specific work functions. The present study addresses this need through an exploration of buyer-seller communication practices in business-to-business contexts. Based on a survey of buyers, it offers a comparison of e-mail and voice mail with an emphasis on preferences for initial or cold call sales messages. The study design compares the explanatory power of three prominent theories of media channel selection: media richness theory, channel expansion theory, and media synchronicity theory. Results indicate that e-mail and voice mail/phone are the most frequently used media channels for business-to-business sales communication. Buyers preferred to receive initial messages from new salespeople by e-mail. Voice mail and phone are preferred for specific processes in established relationships, including conflict resolution, negotiations, and relationship building. Of the three theoretical models, media synchronicity theory offered the most thorough and robust account of buyer media preferences and channel selection rationales. Congruent with the expectations of media synchronicity theory, buyers preferred e-mail for communication processes characterized by the conveyance of information due to its capabilities for information processing. In particular, buyers preferred the higher parallelism of e-mail—including its capabilities for engaging in multiple conversations simultaneously—as it supported multitasking working styles.

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Voice Messaging

Cited by 2 publications

References 0 publications

Modeling North Pacific Climate Time Series

Modeling North Pacific Climate Time Series

Communication Preferences of Business-to-Business Buyers for Receiving Initial Sales Messages: A Comparison of Media Channel Selection Theories

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